Objectives This study aimed to assess the association between postpartum hospital length-of-stay and the composition of gut microbiota at 3 and 12 months of age in different birth modes. Design Prospective cohort of Canadian infants from the Canadian Healthy Infant Longitudinal Development (CHILD) Study born between 2008 and 2012. Setting General community. Sample 1313 infants from three study sites (Edmonton, Vancouver, and Winnipeg) of the CHILD cohort Methods Duration of hospital stay was documented in hospital records. Infants’ gut microbiota was characterized by Illumina 16S rRNA sequencing of fecal samples at 3 and 12 months. Main outcome measures Infant gut microbiota profiles. Results: In the absence of maternal intrapartum antibiotic (IAP) exposure, vaginally delivered infants (VD) with a longer hospital length-of-stay (LOS) had a higher abundance of bacteria in their gut known to cause hospital-acquired Infections (HAI), including Enterococcus at 3 months and 12 months and Citrobacter at 3 months of age. Moreover, HAI-causing bacteria Enterobacteriaceae were more abundant in later infancy in postnatal prolonged hospital stayed IAP-exposed caesarean section (CS) infants. Enterococcus or Citrobacter abundance at 3 months significantly mediated the association of LOS with low relative abundance of Bacteroidaceae and a high relative abundance of Enterococcaeae/Bacteriodaceae or Enterobacteriaceae/Bacteroidaceae ratio at 12 months of age in VD infants without IAP exposure. Conclusions LOS after birth is associated with infant gut dysbiosis. Further research is needed to explore the health outcomes of these associations.

Objectives. To estimate postpartum depression at two months (PPD) prevalence and its related risk factors. Design. Multicentre prospective cohort study. Setting. France. Population or sample. Representative sample of 7,133 women participating to the French National Perinatal Survey (ENP) over one week in March 2021. Methods. Data on maternal characteristics, course of pregnancy/delivery, and child’s health were collected from face-to-face interviews in maternity wards and/or medical records, and a self-questionnaire (including the Edinburgh Postnatal Depression Scale (EPDS)) at two months postpartum. Women with an EPDS score >=13 were considered to have PPD. Poisson regression models with robust variance were used to estimate adjusted prevalence ratios (aPR) for PPD. Main Outcome Measures. PPD Results. PPD prevalence at two months was 16.7% (95%CI[15.7-17.7]). Factors significantly associated with PPD were: i/ age<=29 or >=40 years (maximum aPR=1.41 95%CI[1.12-1.77] obtained for 15-24 year-olds vs 35-39 year-olds), ii/ being born in North Africa (1.29[1.02-1.64] vs France), iii/ having a lower level of health literacy (1.23[1.14-1.35]), iv/ having a history of psychological (1.45[1.24-1.69]) or psychiatric (1.52[1.23-1.88]) care since adolescence (vs none), v/ receiving little/no support or good support during pregnancy (1.80[1.52-2.14] and 1.31[1.15-1.48] vs. receiving very good support), vi/ reporting feelings of sadness (1.92[1.65-2.25]), anhedonia (1.69[1.36-2.11]) or both (2.61[2.26-3.01]) during pregnancy (vs none of these feelings), vii/ having had an instrumental vaginal delivery (1.18[1.01-1.38] vs spontaneous vaginal delivery). Conclusions. Our findings on PPD (prevalence and risk factors) could guide policies on early identification and preventive support for women in the perinatal period.

Dispersion coefficients and the average solute transport velocity are pivotal for groundwater solute transport modeling. Accurately and efficiently determining these parameters is challenging due to difficulties in directly correlating them with pore-space structure. To address this issue, we introduced the Physics-enhanced Convolutional Neural Network-Transformer (PhysenCT-Net), an innovative model designed to concurrently estimate the longitudinal dispersion coefficient and average solute transport velocity in three-dimensional porous media. PhysenCT-Net exhibited excellent predictive performance on unseen testing datasets and significantly reduced computational demands. Comprehensive evaluations confirmed its robust generalization across various flow conditions and pore structures. Notably, the longitudinal dispersion coefficient predictions closely align with established empirical relationships involving Péclet number, affirming the model’s physical interpretability and potential to aid in simulating transport phenomena in porous media.

Objective: In this study, it was aimed to determine the effect of late cord clamping with skin-to-skin contact immediately after delivery on placental abruption time, type of separation, amount of postpartum hemorrhage and postpartum comfort in primiparous pregnant women who gave vaginal delivery. Design: The research is an experimental-type randomized controlled trial. Population: The study was completed with 126 primiparous pregnant women, 63 control and 63 experiments, who were randomized in the clinic. Methods: Placental abruption time, type of abruption, participant’s entry and postpartum 6th hour hemoglobin and hemotocrit levels were recorded by the researcher via Personal Information Form. Main Outcome Measures: Skin-to-skin contact and late cord clamping shorten the placental abruption time, reduce the amount of postpartum hemorrhage, increase the level of postpartum comfort and have no effect on the type of placental abruption. Results: When the placental abruption types were compared in the experimental and control groups, 47.6% of the experimental group had Duncan type, 52.4% had Schultz type, 36.5% of the control group had Duncan type and 63.5% had Schultz type, and no statistically significant difference was found. Skin-to-skin contact was reduce the amount of postpartum hemorrhage and the postpartum comfort levels of the experimental group were found to be higher than the control group. Conclusions: Skin-to-skin contact and late cord clamping reduce placental abruption time, reduce the amount of postpartum hemorrhage, and increase postpartum comfort of the mother. It has no effect on the way the placenta detaches. Link to the trial registry: [www.clinicaltrials.gov](http://www.clinicaltrials.gov) Clinical trial number is NCT06011096.

Background The war in Tigray has caused significant damage to the region’s healthcare facilities. This study aimed to assess the extent of the war’s impact on healthcare facilities in the Eastern Tigray Zone. Methods A mixed research strategy was used, with both quantitative and qualitative approaches. Primary data were collected through questionnaires, interviews, focus group discussions, and observations, while secondary data were obtained from published and unpublished documents. Participants were selected using a simple random sampling method. The collected data were analyzed using a linear regression model to determine the statistical significance of the findings. Results The study found that the impact of the war on healthcare facilities was high to very high, with 97.9 percent of the damage attributed to the war. Of the 177 healthcare facilities in the Eastern Tigray Zone, 29 (16.4 percent) were severely affected, and 118 (66.66 percent) were totally damaged. This indicates that 83 percent of the health system in the region was damaged. The linear regression model showed that the war explained 55.8 percent of the observed health facility damage. Conclusions The damage to health facilities in the Eastern Tigray Zone has led to the complete collapse of the health system at the zone level. The urgent need for reconstruction and restoration of health facilities is highlighted to provide essential health services to the affected population. The government and concerned individuals must take immediate action to address this critical situation and help mitigate the negative impact of the war on the health of the people in Tigray.

Feature extraction from the normalized transformation domain is a key technique in target detection. Traditional normalization approaches assume that matrix elements follow a normal distribution, but any deviations from this assumption can lead to significant systematic errors. This article presents a novel method that modifies the normalization process in the fractional Fourier transform (FRFT) domain by incorporating a threshold mechanism to counteract the effects of non-normal distributions. Three modified FRFT features are then extracted from this modified FRFT domain. Furthermore, we propose a target detection method that utilizes these three adjusted features. Experimental results based on measured data indicate that the modified FRFT features exhibit superior classification capabilities for sea clutter and targets compared to the original ones. Additionally, the experiments also demonstrate that under the same conditions, the proposed detection method outperforms traditional FRFT feature detector and the tri-feature based detector.

We reported a graphene field-effect transistor (GFET) based on CVD Ge-based graphene and primarily investigated the low-temperature electrical characteristics. The self-alignment technique was used to fabricate GFET to reduce parasitic effects and improve transconductance and cut-off frequency. To further explore the electrical properties, we studied the direct current and radio frequency characteristics of the GFET over a temperature range from 4.2 K to 300 K, considering the temperature-dependent resistivity of intrinsic Ge. The DC characteristic of the GFET for 110 nm gate length, particularly the transconductance performance, exhibits a tiny variation of only ~ 5% across this temperature range. However, the cut-off frequency experiences a considerable increase, improving several tens of times when the temperature decreases to 4.2 K, with a maximum value of 3.49 GHz. This work illustrates a meaningful advancement in applying GFETs in the lowtemperature, high-frequency domain.

Pure red cell aplasia (PRCA) is characterized by isolated anemia and a marked reduction or absence of erythroid precursors in the bone marrow. Depending on the underlying etiology, treatment may include immunomodulation or cytotoxic agents, chronic red blood cell transfusions, or hematopoietic stem cell transplantation. Parvovirus B19 infection is a well-recognized cause of transient PRCA, typically resolving with viral clearance. We report an unusual late relapse of PRCA occurring years after parvovirus B19 eradication, unresponsive to steroids and mycophenolate mofetil. Remarkably, prolonged treatment with intravenous immune globulin (IVIG) resulted in complete remission, highlighting its therapeutic utility for idiopathic PRCA.

Title PageBeyond the Surface: Recognizing VitaminB12 Deficiency in Thrombotic Thrombocytopenic Purpura-Like CasesAuthors:Inemesit Akpan MD – Piedmont Athens Regional Medical Center, 1270 Prince Avenue, Suite 102, Athens, GA. 30606. Inemesita11@gmail.com. Corresponding authorGhida Akhdar MD - Piedmont Athens Regional Medical Center, GeorgiaKaelan Dawson, DNP, AGACNP-BC – University Cancer & Blood Center, GeorgiaAmanda Hathaway MD - University Cancer & Blood Center, GeorgiaKeywords: Cobalamin deficiency, Vitamin B12, TTP, thrombotic microangiopathy, hemolytic anemia, thrombocytopenia

The potential of methanol reforming systems to greatly improve productivity in chemical reactors has been limited, due in part, to the effect of mass transfer limitations on the production of hydrogen. There is a need to determine whether or not a microchannel reforming reactor system is operated in a mass transfer-controlled regime, and provide the necessary criteria so that mass transfer limitations can be effectively eliminated in the reactor. Three-dimensional numerical simulations were carried out using computational fluid dynamics to investigate the essential characteristics of mass transport processes in a microchannel reforming reactor and to develop criteria for determining mass transfer limitations. The reactor was designed for thermochemically producing hydrogen from methanol by steam reforming. The mass transfer effects involved in the reforming process were evaluated, and the role of various design parameters was determined for the thermally integrated reactor. In order to simplify the mathematics of mass transport phenomena, use was made of dimensionless numbers or ratios of parameters that numerically describe the physical properties in the reactor without units. The results indicated that the performance of the thermally integrated reactor can be greatly improved by means of proper design of catalyst layer thickness and through adjusting feed composition to minimize or reduce mass transfer limitations in the reactor. There is not an effective method to reduce channel dimensions if the flow rate remains constant, or to reduce fluid velocities if the residence time is kept constant. The rate of the reforming reaction is limited by mass transfer near the entrance of the reactor and by kinetics further downstream, when the heat transfer in the autothermal system is efficient. Finally, the criteria that can be used to distinguish between different mass transport and kinetics regimes in the reactor with a first-order reforming reaction were presented.Keywords: Hydrogen production; Steam reforming; Transport phenomena; Reactor design; Microchannel reactors; Computational fluid dynamics

Progress of global warming poses a great risk to river systems. However, how river heatwaves’ characteristics change under climate change is still poorly understood. In this study, long-term reconstructed daily river water temperatures (RWT) from 125 hydrological stations in 70 rivers across Poland, were used. Bayesian estimator of abrupt change, seasonal change, and trend (BEAST) method was used to track the abrupt changes of RWT. BEAST analysis reveals significant temporal and spatial variability in river temperature trends in Poland, influenced by natural and anthropogenic factors. Notably, the 1980s and 1990s saw maximum abrupt changes. Southern Poland, particularly mountainous regions, exhibits more pronounced temperature changes and severe heatwaves compared to the milder northern regions. Moreover, the characteristics of river heatwaves, including number, duration, intensity, and category, were evaluated. The results showed that 121 out of 125 stations showed significantly increased frequency and intensity of river heatwaves. For all the 125 hydrological stations, the majority of river heatwaves belong to the category ‘moderate’, followed by ‘strong’, ‘severe’, and then ‘extreme’. Characteristics of river heatwaves correlated with air temperatures. The average correlation coefficients of 0.624, 0.631, and 0.604 were for the number, duration and cumulative intensity respectively. The results indicated that with the warming of air temperatures, river heatwaves tend to increase in frequency and intensity. In addition, river heatwaves tend to intensify under low flow conditions. The results further suggest that mitigation measures shall be taken to reduce the effects of climate warming on river systems.

Introduction: AA amyloidosis, a protein misfolding disorder characterized by kidney impairment, remains underinvestigated in the Indian context. This study aimed to comprehensively analyze the clinicopathological characteristics and underlying causes of biopsy-proven renal AA amyloidosis in an Indian patient population. Methods: In this retrospective cross-sectional study, 18 patients diagnosed with AA amyloidosis between March 2022 and May 2024 were meticulously evaluated. Clinical data, laboratory investigations, and renal biopsy findings were collected and analyzed. Results: The study population predominantly comprised males (83.3%) with a wide age range (17-65 years). Chronic infectious diseases were the primary cause (77.8%), including tuberculosis 78.6% (both treated and ongoing) and hepatitis infections 21.4%. Autoimmune conditions like Rheumatoid Arthritis and Ankylosing Spondylitis were identified in a smaller proportion (16.7%). Proteinuria, indicative of glomerular dysfunction, was universally observed. Significant hypoalbuminemia was prevalent, with a substantial portion exhibiting severe deficiency (66.6%). The presence of RBCs and RBC casts highlighted glomerular involvement and potential complications in 38.9% of patients. Elevated creatinine levels pointed towards potential kidney dysfunction in a third of the patients. Biopsy analysis confirmed the presence of amyloid deposits with positive markers for serum amyloid A protein. Conclusions: This study sheds light on the diverse clinical and pathological presentations of AA amyloidosis in a well-defined Indian patient cohort. The findings emphasize the predominance of infectious etiologies and the importance of considering age, gender, and underlying chronic conditions for a comprehensive understanding of AA amyloidosis in the Indian population.

Global warming drives adaptive evolution by influencing natural selection and exploiting temperature-related phenotypic plasticity. However, predicting how phenotypic plasticity will evolve under climate change remains a challenge, urging the need for understanding underlying genetic and molecular mechanisms. In this study, we focus on the expression plasticity divergence of heat shock protein 90 (Hsp90) which is heat responsive and exhibited strong selective sweep in the upstream noncoding region of two allopatric congeneric oyster species: cold-adapted Crassostrea gigas and warm-adapted Crassostrea angulata. Functional characterization confirmed Hsp90 expression is an ideal proxy for thermotolerance. The expression divergence in constitutive and plastic expressions, represents adaption to the mean and variance of habitat temperature changes, respectively. By combining forward and reverse genetic approaches, four causative loci with G+G×E effects in the promoter region (cis-variations) of Hsp90 between C. gigas and C. angulata were identified. Moreover, the allele g.-2291G of the causative loci in C.angulata specifically binds to the positive transcription factor Purine Rich Element Binding Protein B (PURB), explaining the higher constitutive expression of Hsp90. Meanwhile the response of Purb to thermal stress affects the magnitude of plastic expression in C. angulata. This integrative study revealed that cis-variation interacts with trans-variation induced by environmental changes underlying the G×E effect, thereby mediating the divergence of plastic expression. Furthermore, we established a paradigm for studying genetic variants and their G×E effects at an unprecedented resolution at the single nucleotide level in non-model organisms. This study will deepen our understanding of the significant role of phenotypic plasticity in adaptive responses and promote predictions of adaptive potential in marine organisms under climate change.

This research focuses on addressing the limitations of current neuropathic pain (NP) treatments by developing a novel dual-target modulator, E0199, targeting both NaV1.7, 1.8, and 1.9 and KV7 channels, which are crucial regulators in controlling NP symptoms. The objective was to synthesise a compound capable of modulating these channels to alleviate NP. Through an experimental design involving both in vitro and in vivo methods, E0199 was tested for its efficacy on ion channels and its therapeutic potential in a chronic constriction injury mouse model. The results demonstrated that E0199 significantly inhibited NaV1.7, NaV1.8, and NaV1.9 channels with a particularly low IC50 for NaV1.9 by promoting sodium channel inactivation, and also effectively increased KV7.2/7.3, KV7.2, and KV7.5 channels, excluding KV7.1 by promoting potassium channel activation. This dual action significantly reduced the excitability of dorsal root ganglion neurons and alleviated pain hypersensitivity in mice at low doses, indicating a potent analgesic effect without affecting heart and skeletal muscle ion channels critically. The safety of E0199 was supported by neurobehavioral evaluations. Conclusively, E0199 represents a ground-breaking approach in NP treatment, showcasing the potential of dual-target small-molecule compounds in providing a more effective and safe therapeutic option for NP. This study introduces a promising direction for the future development of NP therapeutics.

Climate change is leading to more frequent and severe extreme temperature events, negatively impacting agricultural productivity and threatening global food security. Plant reproduction, the process underpinning crop yield, is highly susceptible to heatwaves, affecting pollen development and ultimately affecting seed set and crop yields. Recent research has increasingly focused on understanding how pollen grains from various crops react to heat stress at the molecular and cellular levels. This surge in interest over the last decade has been underpinned by advances in genomic technologies, such as single-cell RNA sequencing, which holds significant potential for revealing the underlying regulatory reprogramming triggered by heat stress throughout the various stages of pollen development. This review focuses on how heat stress affects gene regulatory networks, including the heat stress response, the unfolded protein response, and autophagy, and discusses the impact of these changes on various stages of pollen development. It highlights the potential of pollen selection as a key strategy for improving heat tolerance in crops by leveraging the genetic variability among pollen grains. Additionally, genome-wide association studies and population screenings have shed light on the genetic underpinnings of traits in major crops that respond to high temperatures during male reproductive stages. Moreover, gene-editing tools like CRISPR/Cas systems could facilitate precise genetic modifications to boost pollen heat resilience. The information covered in this review is valuable for selecting traits and employing molecular genetic approaches to develop heat-tolerant genotypes.

Greenhouse gas emissions from pollution contributes to global warming by trapping heat in the atmosphere, leading to climate change that disrupts traditional growing seasons, and intensifies extreme weather events by elevating temperature, adversely affecting crop growth, development, and yield. To mitigate these impacts, beneficial microorganisms like Arbuscular Mycorrhiza Fungi (AMF) can be utilized to enhance agricultural resilience and ensure food security amidst a changing climate. This study aims to analyse the impact of high temperatures induced by climate stress on plant morphology, soil properties and phosphatase release, while also assessing the potential of AMF to enhance crop resistance to such stressors. The pot experiment studies conducted in an outdoor environment with a day/night temperature of 42/28°C and a mean temperature of 35°C and in greenhouse at a mean temperature of 23°C. Higher temperature (35°C), extreme weather events and shifting growing seasons were found to have a negative impact on growth characteristics such as shoot height, root length, biomass and flowering of Onion ( Allium cepa) plants. However, the growth parameters improved when plants cultivated at 35°C were inoculated with AMF (+) compared to AMF (−) Onion plants. The findings underscore the importance of integrating microbial symbionts into climate-smart agricultural practices to sustainably produce food amidst in the face of environmental uncertainty.

Less is known about the interaction of viruses with their prokaryotic host in the gut of wild animal. Here we used fecal DNA metagenomic data (n = 24) from black-necked cranes during the wintering period for virus characterization. The results were found to be consistent with the trend of bacterial community changes, and the black-necked crane gut viruses community structure was conservative during the wintering period. A total of 280 vOTUs (6 complete, 3 HQ, 2 MQ and 269 LQ) were obtained and life history predictions identified 207 virulent viruses. 269 LQ vOTUs contained at least 10 viral genes, hence several of these viruses may be too distinct from viral species in the CheckV database to properly estimate their completeness. Meanwhile, gene-sharing network analysis revealed that the gut viruses of black-necked crane formed 32 unique viral clusters (VCs). Virus taxonomic assignment has revealed that Azeredovirinae is the most abundant family during the wintering period of black-necked cranes. Furthermore. Black-necked crane gut viruses have a complex relationship with their prokaryotic hosts, and virus-encoded auxiliary metabolic genes (AMGs) enhance the potential of infecting bacteria for chitin degradation, methionine and tetrahydrofolate (THF) metabolism. These results imply the presence of a large number of novel viruses in the intestinal tract of black-necked cranes, which may further affect birds by regulating prokaryotic bacterial metabolism including lyse prokaryotic host cells and encodes AMGs related to the degradation of complex carbohydrates and amino acid metabolism.

Shifts in rainfall patterns and increasing temperatures associated with climate change are causing widespread forest decline, especially due to the increase and duration of droughts. Tree species may have to quickly adapt to these changing conditions, and epigenetic modifications are expected to play a key role in regulating rapid acclimation responses. In this study, we measured acclimation physiological responses and methylome responses in mature holm oak trees ( Quercus ilex L.) subjected to 15 years of experimental accrued drought (-29% of rainfall) and their respective controls with ambient rainfall. We hypothesized that: i) oak trees exposed to long-term drought will exhibit different foliar traits due to adaptative phenotypic plasticity to drought, ii) methylation levels will differ between the drought and control trees allowing the identification of drought-induced differentially methylated regions (DMRs), and iii) these DMRs correlate with the differences in foliar traits. Our results confirmed all hypotheses. The methylome analysis revealed 84 drought-related DMRs among trees from different precipitation treatments, of which 17 DMRs were significantly associated with measured phenotypic responses. This study provides evidence of the role of epigenetic regulation for tree acclimation responses in natural populations of holm oak facing increased droughts and identified candidate genes potentially involved in drought adaptation.

This paper studies proactive eavesdropping in remote estimation systems where the eavesdropping attacker attacks sensors’ ACK channels, and all sensors defend against the eavesdropping attack according to the designed state-secrecy encoding scheme and calibration scheme. Given essential analysis and proofs, a novel dynamic Stackelberg game framework and a Markov Stackelberg game framework are developed to design proactive eavesdropping schemes for the cases when the packet loss rate is entirely random or driven by Markovian process respectively. Utilizing state-secrecy encoding with a calibration mechanism and deep reinforcement learning, the frameworks approximate the optimal strategy of the eavesdropper based on the best response of sensors. Specifically, the objective of the optimal strategy is to minimize the minimum mean square error (MMSE) incurred when the eavesdropper decodes the transmitted message. In the reinforcement learning, the action decompositions and constraints are introduced to obtain a more efficient reduction of the action space and exploration of reasonable strategies. The superiority of the proactive eavesdropping strategies derived from both game frameworks is demonstrated through numerical simulations.

The form analysis system could efficiently conceptualize how object recognition is encoded in a frame-and-fill model. However, little is known about the neural basis of the form system. The present study aimed to narrow this gap using the EEG method. By instructing participants passively to see six kinds of pictures, including geometries, animal headless bodies, plants, Chinese words, English words, and Greebles, we found the form analysis system existed in the first three kinds, but not in words or faces fields. These results suggested those stimuli that shared the same medial axis structure could induce similar negativity waves in the human brain.

Earthquake nowcasting has been proposed as a means of tracking the change in large earthquake potential in a seismically active area. The method was developed using observable seismic data, in which probabilities of future large earthquakes can be computed using Receiver Operating Characteristic (ROC) methods. Furthermore, analysis of the Shannon information content of the earthquake catalogs has been used to show that there is information contained in the catalogs, and that it can vary in time (Rundle et al., 2023a, 2024c). Here we discuss a new method for earthquake nowcasting that uses an AI-enhanced deep learning model "QuakeGPT" that is based on an attentionbased science transformer adapted for time series forecasting. Such dot product attention-based transformers were introduced by Vaswani et al. (2017), and are the basis for the new large language models such as ChatGPT. To use these science transformers, they must Sirst be trained on a large corpus of data. A problem is that the existing history of reliable earthquake catalog data extends back in time only a few decades, which is almost certainly too short to train a model for reliable nowcasting/forecasting. As a result, we turn to earthquake simulations to train the transformer model. SpeciSically we discuss a simple stochastic earthquake simulation model "ERAS" (Earthquake Rescaled Aftershock Seismicity) that has recently been introduced (Rundle et al, 2024c). The ERAS model is similar to the more common "ETAS" models, the difference being that the ERAS model has only 2 novel, adjustable parameters, rather than the 6-8 adjustable parameters that characterize most ETAS models. Using this ERAS model, we then deSine a transformer model and train it using a long catalog of ERAS simulations, then apply it to an ERAS validation dataset with the transformer model. In this paper, we describe this new method and assess the applicability to observed earthquake catalogs for use in nowcasting/forecasting.

Congenital dyserythropoietic anemia (CDA) is a rare heterogeneous hereditary disorder characterized by ineffective erythropoiesis and morphological abnormalities of erythrocytes and bone marrow erythroblasts.Currently, six types of CDA with different genetic mutations have been identified, with CDAII being the most prevalent. CDA II is an autosomal recessive disorder with the causative gene on the SEC23B gene at 20q11.2. To date, 110 mutations in the SEC23B gene have been reported in CDA II. This paper reports a case of congenital dyserythropoietic anemia type II caused by a new SEC23B mutation and accompanied by a large segmental deletion at the SEC23B gene locus. In addition, we reviewed the diagnostic and therapeutic advances in CADII.

Long-term effective control of advanced epithelial ovarian cancer by Aidi combined with compound Sophora flavescens injection：A case report

To research how the people of Ain Temouchent employ aromatic and therapeutic plants in 2022-2023 in north-western Algeria, we interviewed 150 individuals, 95 (67%) of whom were women and 55 (37%) men, using a semi-structured questionnaire. Informants were randomly selected and no appointments were made. A list of sixty-six medicinal plants that are used to heal various ailments was created. There are 62 genera and 29 families among them. At 29%, the foliage was the portion of the plant that was used the most, followed by the fruit at 17%. The majority of treatments were employed to address digestive disorders. (31%), followed by respiratory diseases (24%) and genitourinary diseases (11%). Medicinal plants that the locals frequently use for food or medicine are Thymus vulgaris L., Mentha spicata L., Citrus limon (L) Burm.f., Eucalyptus globulus Labill and Lavandula stoechas L.