bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cortical arealization of interneurons defines shared and distinct molecular programs in developing human and macaque brains
Authors: Li Mingfeng , Feng Xiangling , Gao Yingjie , Chu Fan , Shan Yuwen , Liu Meicheng , Wang Yao-Yi , Zhu Ying , Lu Qing 
Published: February 2024

Abstract

Cortical interneurons generated from ganglionic eminence via a long-distance journey of tangential migration display evident cellular and molecular differences across brain regions, which seeds the heterogeneous cortical circuitry in primates. However, whether such regional specifications in interneurons are intrinsically encoded or gained through interactions with the local milieu remains elusive. Here, we recruit over 700,000 interneurons from cerebral cortex and subcortex including ganglionic eminence within the developing human and macaque species. Our integrative and comparative analyses reveal that less transcriptomic alteration is accompanied by interneuron migration within the ganglionic eminence subdivisions, in contrast to the dramatic changes observed in cortical tangentialmigration, which mostly characterize the transcriptomic specification for different destinations and for species divergence. Moreover, the in-depth survey of temporal regulation illustrates species differences in the developmental dynamics of cell types, e.g., the employment of CRH in primate interneurons during late-fetal stage distinguishes from their postnatal emergence in mice, and our entropy quantifications manifest the interneuron diversities gradually increase along the developmental ages in human and macaque cerebral cortices. Overall, our analyses depict the spatiotemporal features appended to cortical interneurons, providing a new proxy for understanding the relationship between cellular diversity and functional progression.
Broad cross-neutralizing antibodies against animal-associated sarbecoviruses generated by SARS-CoV-2 infection and vaccination in humans
Authors: Qu Xiaowang , Hu Yabin , Wu Qian , Chang Fangfang , Yang Jing , Zhang Xiaoyue , wang Qijie , Chen Jun , Teng Shishan , Liu Yongchen , Zheng Xingyu , Wang You , Lu Rui , Pan Dong , Liu Zhanpeng , Wu Chanfeng , Tang Yinggen , Tang Fei , Qian Jun , Chen Hongying , Liu Wenpei , Li Yi-Ping 
Published: February 2024

Abstract

The outbreaks of severe acute respiratory syndrome coronavirus (SARS-CoV-1), Middle East respiratory syndrome coronavirus (MERS-CoV), and SARS-CoV-2 highlight the need for countermeasures to prevent future coronavirus pandemics. Given the unpredictable nature of spillover events, preparing antibodies with broad coronavirus-neutralizing activity is an ideal proactive strategy. Here, we investigated whether SARS-CoV-2 infection and vaccination could provide cross-neutralizing antibodies (nAbs) against zoonotic sarbecoviruses. We evaluated the cross-neutralizing profiles of plasma and monoclonal antibodies constructed from B cells from coronavirus disease 2019 (COVID-19) convalescents and vaccine recipients; against sarbecoviruses originating from bats, civets, and pangolins; and against SARS-CoV-1 and SARS-CoV-2. We found that both SARS-CoV-2 infection and vaccination elicited broad cross-nAbs against multiple sarbecoviruses, and vaccination boosters significantly augmented the magnitude and breadth of nAbs to sarbecoviruses. Of the nAbs, several exhibited neutralization activity against multiple sarbecoviruses by targeting the spike receptor-binding domain (RBD) and competing with angiotensin-converting enzyme 2 (ACE2) binding. SCM12-61 demonstrated exceptional potency, with half-maximal inhibitory concentration (IC50) values of 0.001–0.091 μg/mL, indicating its potential for combating new sarbecovirus outbreaks. Collectively, our findings suggest that both SARS-CoV-2 infection and current vaccination schemes elicit broad cross-neutralizing antibodies against diverse sarbecoviruses, enforcing prevention and therapeutic strategies for future sarbecovirus spillover events.
On periodic log GARCH model with empirical application
Authors: BIBI Abdelouahab , HAMDI Fayçal 
Published: February 2024

Abstract

This article introduces a new class of volatility models known as Periodic log-Generalized Autoregressive Conditional Heteroscedastic (P − log GARCH) models, which incorporate periodic variations in the coefficients. These parameter variations are particularly relevant when incorporating seasonality into economic decision-making theory. The P − log GARCH formulation exhibits desirable properties, such as unconstrained positivity of parameters, absence of extreme value clustering, and a volatility trend. Specifically, the proposed model, without a trend, demonstrates periodic stationarity and is well-suited for data characterized by robust seasonal volatility. We investigate the probabilistic structure of this model and establish necessary and sufficient conditions for the existence of stationary solutions in a periodic sense. Additionally, we examine the strong consistency and asymptotic normality of the generalized quasi-maximum likelihood estimator (GQMLE) under mild assumptions. To assess the performance of our model, we conduct a Monte Carlo study to examine the finite-sample properties of the GQMLE. Finally, we present empirical evidence by applying the P − log GARCH model to analyze the exchange rates of the Algerian Dinar against the U.S. dollar and the Euro, thereby demonstrating its practical utility.
MSC Classification: 62G20 , 62M10
Assessment of Mining-Induced Land Degradation in Ile-Ife, Osun State Nigeria
Authors: Ojo Adebayo Gbenga , Balogun Bolarinwa , Aluko Olaniran , Alage Lukman 
Published: February 2024

Abstract

Mining activities can lead to significant land degradation, posing environmental and socio-economic challenges in affected regions. This study aimed to assess mining-induced land degradation in the Ile-Ife region of Osun State, Nigeria, utilizing a comprehensive set of indicators, including slope, soil characteristics, land use/cover, soil organic carbon content, land surface temperature, normalized difference vegetation index (NDVI), and community perceptions obtained through a questionnaire survey. Remote sensing data and geographic information systems (GIS) techniques were employed to analyze land use/cover, NDVI, slope and land surface temperature variations over time, while the soil grid was analyzed to generate the soil types, quantify soil organic carbon content and other relevant soil properties. The weighted overlay analysis was used to integrate the components using the analytical hierarchical process to produce the land degradation map. The findings reveal that 89.9% of the study area has experienced significant degradation, 2.09% has low-moderate and 8.02% has very high degradation, all of which are related to mining activities, extremely steep slopes, and loose soil particles. The survey revealed widespread concerns about environmental pollution, loss of agricultural productivity, and adverse health effects associated with mining activities. In conclusion, the findings of this study emphasize the urgency of addressing mining-induced land degradation in Ile-Ife, Osun State. The integration of multi-indicator approaches, including remote sensing, GIS, and community perceptions, offers valuable insights for designing sustainable land management strategies and mitigating the adverse effects of mining on the environment and local communities.
Rearing of black soldier fly larvae (Hermetia illucens) as a tool for managing agricultural byproducts
Authors: Vodounnou JV , Iko Romaric , Sintondji Wilfried , Tossavi CE , Kpogue DNS , Fiogbe ED 
Published: February 2024

Abstract

Black soldier fly larvae (BSFLs) are used for recycling organic waste. The aim of this study was to evaluate the effects of cassava, yam and sweet potato peels on BSFL production. Four different treatments were performed in triplicate in a completely random block consisting of soy bran (TSB), cassava peel (TCP), yam peel (TYP) and sweet potato peel (TPP). A density of 1 larva/g of substrate was used with a uniform ratio of 100 mg/larva/day. Larval growth was 10 days, and growth monitoring was carried out every 2 days. The daily weight gain (DWG) ranged from 2.19 ± 0.09 g/d (TYP) to 4.53 ± 0.02 g/d (TSB). The production of these fungi ranged from 43.90 ± 1.87 g/kg of substrate (TYP) to 90.56 ± 0.54 g/kg of substrate (TSB). The degradation rate ranged from 36.00 ± 2.30% (TYP) to 65.00 ± 2.88% (TSB), and the survival rate ranged from 77.66 ± 1.45% (TYP) to 99.00 ± 0.28% (TSB). According to the Z correlation test, there was a strong correlation between the organic matter content of the substrates and the DWG (99.1%). It was also observed that phosphorus content was strongly correlated with DWG (92.9%). Regarding the nutritional quality of the larvae, the protein content varied from 33.51 ± 0.94% (TYP) to 40.64 ± 032% (TSB), and the lipid content varied from 26.24 ± 0.35% (TYP) to 30.44 ± 0.18% (TSB). We noticed generally a significant difference (p < 0.05) between the different treatments depending on the parameters. This study revealed that casava, yam and sweet potato peels can be used for BSFL production.
Detecting and Adapting to Concept Drift in Large-Scale Internet of Medical Things Data Streams: A Drift-Oriented Framework
Authors: Maheshwari Vikash , Osman Nurul Aida Bt , Daud Hanita , Kurniati Angelina Prima , Yousaf Wan Nur Syahidah Bt. 
Published: February 2024

Abstract

Purpose
The surge in Internet-of-Medical-Things (IoMT) and smart devices has resulted in a substantial influx of data streams within the healthcare domain. The interlinked structure of medical devices presents a pivotal hurdle referred to as Concept Drift, particularly significant in the medical arena due to the inherent instability of data patterns over time. In medical contexts, this complexity is heightened as sensors need to seamlessly shift from routine healthcare monitoring to managing urgent scenarios such as emergency ICU operations. The intricacy deepens owing to the uneven distribution of data in e-health scenarios. The complexity is further compounded by imbalanced data distributions in e-health scenarios.
Method
To address this challenge, our study proposes a novel Adaptive Ensemble Framework (AEF-CDA) specifically designed for detecting and adapting to concept drift in large-scale medical data streams from IoMT. The framework integrates adaptive data preprocessing, a novel drift-oriented adaptive feature selection approach, learning of base models, and model selection adapted to concept drift. Additionally, an online ensemble model is incorporated to enhance concept drift adaptation.
Results
The proposed AEF-CDA framework is evaluated using three public IoMT and IoT datasets. The experimental results demonstrate its superiority over contemporary methods, achieving a remarkable accuracy of 99.64% with a precision of 99.39%. These metrics surpass the performance of other approaches in the simulation.
Conclusion
In conclusion, the research presents an effective solution in the form of the adaptive ensemble framework (AEF-CDA) to effectively address the challenges posed by concept drift in IoMT data streams. The demonstrated high accuracy and precision underscore the framework's efficacy, highlighting its potential significance in the dynamic landscape of medical data analysis.
Validation of the Mayo Imaging Classification System for Predicting Kidney Outcomes in ADPKD
Authors: Bais Thomas , Geertsema Paul , Knol Martine G.E. , van Gastel Maatje D.A. , de Haas Robbert J. , Meijer Esther , Gansevoort Ron T. ,   on behalf of the DIPAK Consortium
Published: February 2024

Background
The Mayo Imaging Classification was developed to predict the rate of disease progression in patients with autosomal dominant polycystic kidney disease. This study aimed to validate its ability to predict kidney outcomes in a large multicenter autosomal dominant polycystic kidney disease cohort.

Methods
Included were patients with ≥1 height-adjusted total kidney volume (HtTKV) measurement and ≥3 eGFR values during ≥1-year follow-up. Mayo HtTKV class stability, kidney growth rates, and eGFR decline rates were calculated. The observed eGFR decline was compared with predictions from the Mayo Clinic future eGFR equation. The future eGFR prediction equation was also tested for nonlinear eGFR decline. Kaplan–Meier survival analysis and Cox regression models were used to assess time to kidney failure using Mayo HtTKV class as a predictor variable.

Results
We analyzed 618 patients with a mean age of 47±11 years and mean eGFR of 64±25 ml/min per 1.73 m2 at baseline. Most patients (82%) remained in their baseline Mayo HtTKV class. During a mean follow-up of 5.1±2.2 years, the mean total kidney volume growth rates and eGFR decline were 5.33%±3.90%/yr and −3.31±2.53 ml/min per 1.73 m2 per year, respectively. Kidney growth and eGFR decline showed considerable overlap between the classes. The observed annual eGFR decline was not significantly different from the predicted values for classes 1A, 1B, 1C, and 1D but significantly slower for class 1E. This was also observed in patients aged younger than 40 years and older than 60 years and those with PKD2 mutations. A polynomial model allowing nonlinear eGFR decline provided more accurate slope predictions. Ninety-seven patients (16%) developed kidney failure during follow-up. The classification predicted the development of kidney failure, although the sensitivity and positive predictive values were limited.

Conclusions
The Mayo Imaging Classification demonstrated acceptable stability and generally predicted kidney failure and eGFR decline rate. However, there was marked interindividual variability in the rate of disease progression within each class.
Modeling daily veterinary anesthetist patient care hours and probabilities of exceeding critical thresholds
Authors: Dexter Franklin , Pinho Renata H. , Pang Daniel S. J. 
Published: February 2024

Abstract

OBJECTIVE
Use a referral dental clinic model to study how to calculate accurate 95% upper confidence limits for probabilities of workloads (total case duration, including turnover time) exceeding allocated times.

ANIMALS
Dogs and cats undergoing dental treatments.

METHODS
Managerial data (procedure date and duration) collected over 44 consecutive operative workdays were used to calculate the daily anesthetist workload. Workloads were compared with a normal distribution using the Shapiro-Wilk test, serial correlation was examined by runs test, and comparisons among weekdays were made using the Kruskal-Wallis test. The 95% confidence limits for normally distributed workloads exceeding allocated times were estimated with a generalized pivotal quantity. The impact of a number of procedures was assessed with scatterplots, Pearson linear correlation coefficients, and multivariable linear regression.

RESULTS
Mean anesthetist's workload was normally distributed (Shapiro-Wilk P = .25), without serial correlation (P = .45), and without significant differences among weekdays (P = .52). Daily workload, mean 9.39 hours and SD 3.06 hours, had 95% upper confidence limit of 4.47% for the probability that exceeding 16 hours (ie, 8 hours per each of 2 tables). There was a strong positive correlation between daily workload and the end of the workday (r = .85), significantly larger than the correlation between the end of the workday and the number of procedures (r = .64, P < .0001).

CLINICAL RELEVANCE
There are multiple managerial applications in veterinary anesthesia wherein the problem is to estimate risks of exceeding thresholds of workload, including the costs of hiring a locum, scheduling unplanned add-on cases, planning for late discharge of surgical patients to owners, and coordinating anesthetist breaks.
Advancing the Engineering Approach to Improving the Quality Cracking Efficiency of Palm Nut Crackiing Machine
Authors: Oluwatobi Israel Okunola , Olawale John Olukunle , Oluwafemi Adeyemi Adetola , Waleola Akinfiresoye 
Published: February 2024

A Palm Nut cracking machine with an improved beater configuration was developed to effectively crack Palm Nuts of various species and sizes. This research aim at improving the quality of the Palm kernel recovered at relatively low cost during Palm kernel oil production. Durable materials were acquired locally to fabricate the machine for ease of usage and maintenance, also to make it affordable for small and large scale processors. Basic features of the machine are; hopper, electric motor (prime mower), cracking chamber, cracking beater and discharge outlet. The design of the cracking drum and beater configuration was based on the impact force required to crack the Palm Nut which is a function of Palm Nut shear strength. A 5 hp electric motor was selected based on the power required to effectively operate the machine. The machine was tested with “Tenera” varieties, three nut sizes (14.5, 22.15 and 29.43mm) and five speeds (970, 1200, 1450, 1750 and 2430rpm). Result shows that the change in machine speed significantly (P<0.05) affects all the machine performance irrespective of the Palm Nut size and variety, which agrees with the report of several other researchers. The obtained optimum machine performance values are 14,874 nuts/h, 89.5%, 98% for the machine capacity, quality performance efficiency and cracking efficiency for Tenera variety. The best crop and machine parameter for the optimum performance of the Palm Nutcracker are 29.43 mm and 970 rpm, nut size and machine speed. It was concluded that the overall performance of this developed Palm Nut cracking beater was effective because it fell within the range of 80 to 98% efficiency.
A Study on Farmers’ Use of Social Media; Comparative Analysis of Mardin and Hatay Provinces
Authors: Acıbuca Veysi , Kaya Aybüke 
Published: February 2024

This study was conducted in Hatay and Mardin provinces to investigate the tendency of farmers to use social media, the difficulties they face during the use of social media and the variables affecting the use of social media by farmers. The research consisted of data obtained from a face-to-face survey of 221 producers using proportional sampling method. Descriptive statistics were used for data analysis, and chi-square analysis was used to examine the relationships between variables. The results showed that the rate of producers using social media was 77.8% in Mardin province and 73.8% in Hatay province. Additionally, farmers mostly use social media for communication with families and access to new news. Also, the most commonly used social media applications in both provinces were WhatsApp and Facebook. As a result of this research, it was determined that farmers don’t use social media sufficiently for agricultural activities, and it was suggested that farmers’ organizations and related institutions should carry out information activities for farmers to encourage farmers to use social media efficiently.
International Roundtable
Authors: K.H.  
Published: February 2024

On the occasion of the official visit to Canada of the
United Nations High Commissioner for Refugees, Mr. Poul Hartling, the Canadian Foundation for Refugees and the UNHCR hosted an international round table discussion on the subject of integration of refugees. Ten delegates from across Canada and delegates representing Denmark, France, Greece, Hong Kong,Norway, Spain, Sudan, the U.K., and the U.S. shared their experiences regarding initial reception, language acquisition, and cultural and emotional problems of refugees.
أثر بعض استراتيجيات التخلص الأخضر لتحقيق التصنيع المستدام بحث ميداني لآراء عينة من المهندسين والفنيين في المحطة الغازية لتوليد الكهرباء في محافظة السليمانية
Authors: عبدالكريم ريباز برهان , محمد عمار عواد 
Published: February 2024

يهدف البحث إلى تحديد العلاقة بين تبني بعض استراتيجيات التخلص الأخضر كمتغير مستقل وبين التصنيع المستدام كمتغير تابع في المنظمة الإنتاجية المبحوثة، وتكمن أهمية البحث من خلال تناوله لموضوع التخلص الأخضر والاستدامة في التصنيع التي تسعى لها المنظمات الإنتاجية لتبنيها للحد من تأثيراتها السلبية على البيئة والمجتمع، وتكمن مشكلة البحث حول التساؤل الرئيس وهو: ما هو أثر بعض استراتيجيات التخلص الأخضر في تحقيق التصنيع المستدام في المنظمة المبحوثة؟
وللإجابة عليها تم تصميم الأنموذج الافتراضي للبحث والذي يعكس طبيعة علاقات الارتباط والأثر بين متغيري البحث من خلال مجموعة من الفرضيات وتم اتخاذ المحطة الغازية لتوليد الكهرباء في محافظة السليمانية ميداناً للبحث واعتمدت استمارة الاستبانة كأداة رئيسية وبلغت عينة البحث (87) فرداً من المهندسين والفنيين فضلاً عن مقابلات ميدانية أجراها الباحثان مع مدير المحطة وعدد من المهندسين والفنيين للحصول على البيانات والمعلومات التي تم تحليلها، وبينت النتائج أن هناك علاقة ارتباط وأثر لاستراتيجيات التخلص الأخضر على التصنيع المستدام.
مهارات القيادة الإدارية وانعكاساتها على تحقيق النجاح الاستراتيجي دراسة استطلاعية لآراء عينة من القيادات الأمنية في محافظة نينوى
Authors: علي حسن حيدر , محمد أبوردن إيمان بشير 
Published: February 2024

هدفت الدراسة الى قياس دور مهارات القيادة الإدارية بوصفها متغيراً مستقلاً، والنجاح الاستراتيجي بوصفها متغيراً معتمداً، وتم وضع مخطط فرضي يقدم طريقة لتفسير طبيعة تلك العلاقة والأثر القائمة بين متغيرات الدراسة المبحوثة، وحدد مجتمع الدراسة في (القيادة الأمنية في محافظة نينوى)، وطبقت الدراسة على عينه مكونه من (61) من القيادات الامنية. وتبنت الدراسة المنهج الوصفي التحليلي في إجراءاتها واستعملت استمارة الاستبانة بوصفها أداة رئيسة في جمع البيانات المتعلقة بالجانب الميداني، فضلاً عن الزيارات الميدانية والمقابلات التي أجراها الباحث كونه يعمل في هذا المجال ومطلع عن كثب على هذا الميدان بهدف قياس متغيرات الدراسة، وتم تحليل البيانات التي تم الحصول عليها باستخدام البرمجية الإحصائية الجاهزة (SPSS, Ver. 25). واستناداً إلى وصف وتشخيص متغيرات الدراسة وعبر اختبار فرضياتها (علاقات الارتباط والتأثير) بين تلك المتغيرات وفقاً للمخطط الفرضي، وقد توصلت الدراسة إلى عدد من النتائج كان أبرزها وجود علاقات ارتباط معنوية بين مهارات القيادة الإدارية والنجاح الاستراتيجي، فضلاً عن ثبوت التأثير المعنوي لمهارات القيادة الإدارية في النجاح الاستراتيجي واختتمت الدراسة بعدد من المقترحات، كان أبرزها: إن القيادة الإدارية الناجحة هي تلك القيادة التي تمتلك القدرة على إدارة الأزمات التي تواجه المنظمة بسلوكيات ايجابية وتوظيف مهاراتها الإدارية وبما يتناسب ومتطلبات المواقف البيئة والعمل على خلق حالة من التوازن بين الأهداف الاستراتيجية المخطط لها وأهداف العاملين.
تقدير دالة الطلب على السيارات الخصوصية في إقليم كوردستان-العراق محافظة أربيل أنموذجاً
Authors: عثمان صابر پیرداود , عبدالله ياسين عثمان , أبوبكر هيمداد أمين 
Published: February 2024

لوسائل النقل دور كبير في النشاطات الاقتصادية ودوراً مهماً في الحياة البشرية، لذلك فان هذه الدراسة ركزت على العوامل المؤثرة في الطلب على السيارات الخصوصية من اجل ان توفر مؤشرات كمية كمرونات الطلب الدخلية للسيارات وغيرها في المؤشرات المساعدة في اتخاذ القرارات الخاصة بالتحكم بالطلب على السيارات كسياسات الاستيراد والضرائب والرسوم المفروضة على السيارات وانعكاساتها التي تساعد اصحاب القرار في الاهتداء بهذه المؤشرات.
وهدفت هذه الدراسة الى تقدير دالة الطلب على السيارات الخصوصية في محافظة اربيل وتقدير مرونة الطلب الدخلية للطلب على السيارات الخصوصية واعتمدت هذه الدراسة الى الفرضية مفادهما ان للمتغيرات التوضيحية في النموذج المقدر تأثير معنوي في الطلب الاسر على السيارات الخصوصية ولاسيما مستوى دخل الاسرة. وقد تم استخدام أسلوب النماذج القياسية كأسلوب كمي باستخدام برنامج SPSS واعتمدت الدراسة على البيانات التي جمعت في عينة مكونة من (714) اسرة في محافظة اربيل خلال عام 2015.
وقد توصلت الدراسة الى ان معظم المتغيرات التوضيحية المتضمنة في النموذج لها تأثير معنوي في امتلاك السيارة وان الطلب على السيارات يزداد بزيادة عدد افراد الاسرة.