bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Spiking Model of Cell Assemblies: Short Term and Associative Memory
Authors: Huyck Chris 
Published: March 2023

Abstract
Cell Assemblies (CAs) are the neural basis of both long and short termmemories. CAs, whose neurons persistently fire, are active short termmemories while the neurons are firing, and the memory ceases to beactive when the neurons stop firing. This paper provides simulationsof excitatory spiking neurons with small world topologies that persistfor several hundred milliseconds. Extending this model to includeshort term depression allows the CA to persist for several seconds, areasonable psychological duration. These CAs can be combined in asimple associative memory so that when three CAs are associated,ignition of two causes the third to ignite, while pairs ofunassociated CAs do not lead to the ignition of other CAs. Thismechanism has a larger capacity than a Hopfield net. A discussion ofthe current psychological theories, other mechanisms for short termmemory, the strengths and weaknesses of the paper's simulatedmodels, and proposed challenges are also provided.
A Novel Technique for Continuous Blood Pressure Estimation from Optimal Feature Set of PPG Signal Using Deep Learning Approach
Authors: Raju S. M. Taslim Uddin , Dipto Safin Ahmed , Hossain Md Imran , Chowdhury Md. Abu Shahid , Haque Fabliha , Nashrah Ayesha Tun , Nishan Araf , Ahmad Ashfaq , Chowdhury Mostafa Zaman , Hashem M. M. A. 
Published: March 2023

Abstract
Continuous Blood Pressure (BP) provides essential information for monitoring one's health condition. However, BP is currently monitoring using uncomfortable cuff-based devices, which does not support continuous BP monitoring. This paper aims to introduce a blood pressure monitoring algorithm based on only photoplethysmography (PPG) signals using the deep neural network (DNN). The PPG signals are obtained from 219 subjects with 657 records and filtered using signal processing algorithms to reduce the effects of noise, such as baseline wandering, and motion artifacts. The proposed algorithm is based on pulse wave analysis of PPG signals, extracted various domain features from PPG signals, and mapped them to BP values. Four feature selection methods are applied and yielded four feature subsets. Therefore, an ensemble feature selection technique is proposed to obtain the optimal feature set based on major voting scores from four feature subsets. DNN models, along with the ensemble feature selection technique, outperformed in estimating the systolic blood pressure (SBP) and diastolic blood pressure (DBP) compared to previously reported approaches that rely only on the PPG signal. The coefficient of determination (R2) and mean absolute error (MAE) of the proposed algorithm are 0.962 and 2.480 mmHg respectively for SBP, 0.955 and 1.499 mmHg respectively for DBP. The proposed approach meets the Advancement of Medical Instrumentation standard for SBP and DBP estimations. Additionally, according to the British Hypertension Society standard, the results attained Grade A for both SBP and DBP estimations. It concludes that BP can be estimated more accurately using the optimal feature set and DNN models. The proposed algorithm has the potential ability to facilitate mobile healthcare devices to monitor continuous BP.
Nitrate Removal from Urban Storm Runoffs by Multi-Filter Process
Authors: Sirouspour Somayeh , Parvinnia Mohammad , Shokrollahi Ardeshir , khalili Reza 
Published: March 2023

Abstract
The ultimate goal of the present study is to design and investigate the bio-geo-filters for nitrate removal from the runoffs. This research uses alternate layers of non-woven geotextile and granular soil to reduce and remove pollution. These layers are of paramount importance in permeability and adsorption capability. Some points have been considered for selecting the materials, including the material capability for pollution removal, their accessibility, and maximal cost-effectiveness. After conducting the permeability tests, the weight mixing ratio of the materials used in permeable reactive barriers (PRB) was considered to be 25% sand, 20% zeolite, 20% iron filings, and 10% poplar wood sawdust. For pH 7, zeolite's maximal nitrate adsorption efficiency is about 69%, sawdust 29%, and iron filings 12%. The investigation of nitrate adsorption through the final prepared PRB for different nitrate concentrations under the optimal pH conditions showed maximal adsorption of about 83% for a nitrate concentration of 150 mg/L. The more the initial nitrate concentration, the more the absorption amount. Moreover, nitrate was removed with equal amounts of absorbent at optimal pH at different times to determine the equilibrium time. The maximal removal of 100% was obtained at an equilibrium time of 96 hours. In the pollution removal test with biomass grown in the filter environment, the filter decreased the nitrate content up to 99% after nine days, i.e., the final nitrate content was reduced from 100 to 1 mg/L.
Is reading for pleasure in adolescence good for mental health? A counterfactual and within-person analysis in a large longitudinal study
Authors: Murray Aja , Errington Patrick , Yang Yi , Mirman Dan , Obsuth Ingrid , Booth Tom , Ribeaud Denis , Eisner Manuel 
Published: March 2023

Abstract
Purpose: Reading has been proposed to be a protective factor in mental health; however, testing this is made challenging by the vulnerability of the reading-mental health association to confounding.
Methods: We used two complementary approaches to address this: propensity score matching and random intercepts cross-lagged panel models (RI-CLPM) in a large longitudinal study: the Zurich Project on Social Development from Childhood to Adulthood (z-proso). For the counterfactual analyses, mental health outcomes of anxiety, depression, and psychosis-like symptoms were measured at ages 17 and 20 and reading engagement was measured at ages 15 and 17. Matching variables included a wide range of factors potentially related to reading and mental health outcomes.
Results: There was no consistent effect of reading for pleasure on anxiety, depression, and psychosis. The only significant effects were detrimental effects of reading on anxiety and psychosis at age 20 when using non-bi-partite matching.
Conclusion: Reading for pleasure without considering content and style of engagement may not be a protective factor in adolescent mental health.
Methodology for Improving the Performance of Demand Forecasting Through Machine Learning
Authors: Yoon Daeyoung , Park Seonyeong , Song Yechan , Chae Jihun , Chung Doohee 
Published: March 2023

Abstract

Accurate demand forecasting is crucial for industries to make strategic decisions and maintain their competitive edge. However, existing demand forecasting methods have prodigious problems, especially when it comes to handling the uncertainty, complexity, and nonlinearity of demand forecasting. In addition, the lack of historical data and data biases can create unreliable sources, which discourages the utilization of demand forecasting at a higher level of implementation in businesses. In addition, lack of historical data and data biases can create unreliable sources, which discourages utilization of demand forecasting at higher level of implementation in businesses. The proposed hybrid model aims to improve demand forecasting performance by combining the strengths of existing methods such as K-means clustering, LASSO regression, and LSTM deep learning. By leveraging these techniques, the model can overcome the limitations of each method and improve the accuracy of demand forecasting in various industries. K-means clustering helps to group similar data points, LASSO regression helps to select the most relevant features, and LSTM deep learning helps to capture the temporal dependencies in the data. The combination of these techniques can result in a more accurate and robust demand forecasting model. The model was tested on 2,548 retail products, and outperformed three benchmarking models using the mMAPE, RMSE, and MAE indicators. The proposed model can be used in the retail industry to improve management performance and decision-making, and its ability to optimize variables for each cluster can improve resource allocation.
Psychosocial Distress and Quality of Life in Patients after Radical Cystectomy – One Year Follow-Up in 842 German Patients
Authors: Bahlburg Henning , Hellmann Tabea , Tully Karl , Butea-Bocu Marius Cristian , Reike Moritz , Roghmann Florian , Noldus Joachim , Müller Guido 
Published: March 2023

Abstract
Purpose:
This study aims to report on psychosocial distress and QoL in bladder cancer patients after radical cystectomy (RC) and urinary diversion to obtain a better basis for patient counseling and postoperative care.
Methods:
The study relied on prospectively collected data for 842 patients, who underwent three weeks of inpatient rehabilitation after RC and creation of an ileal conduit (IC) or ileal neobladder (INB). Data on QoL and psychosocial distress were collected by validated questionnaires. Multivariate logistic regression was performed to identify predictors for high psychosocial distress.
Results:
Four-hundred and forty-seven patients (326 male, 121 female) received an IC, while 395 patients (357 male, 38 female) received an INB. Health-related QoL improved steadily in the whole cohort during follow-up. Patients with an INB reported better physical function but suffered more from diarrhea and financial worries. Patients with an IC reported reduced satisfaction with their body image, increased worries about the future, and suffered more from constipation. Psychosocial distress increased significantly during follow-up. One year after surgery, 43.1% of patients suffered from high psychosocial distress. Multivariate regression analysis identified age ≤59 years (OR 1.731; CI 1.056–2.838; p=0.030) and lymph node metastases (OR 2.073; CI 1.133–3.793; p=0.018) as independent predictors for high psychosocial distress.
Conclusion:
QoL improves significantly in all patients one year after RC. However, psychosocial distress remains high in a substantial number of patients.
Explaining population variation after the 2016 Central Italy earthquake using Call Data Records and Twitter
Authors: Hadjidimitriou Natalia Selini , Lippi Marco , Mamei Marco 
Published: March 2023

Abstract
In this work, we analyse mobile phone variation before and after the 2016 Central Italy earthquake in the affected areas, using Twitter and public reconstruction works data. We create three models and show that Twitter data and the related sentiment on the earthquake, as well as the distribution emergency houses, can contribute to explaining population variations. Our final Poisson regression model explains more than 80% of the variance of the population's variation based on the percentage of negative polarity tweets, the number of emergency houses, the number of negative tweets on the earthquake weighted by the number of residents, number of tweets posted on the earthquake anniversary, the distance from the epicentre and several variables related to public reconstruction works (e.g., school, public housing, hydrological disruption, viability). We found that sentiment on the emergency house can be a proxy for population variation because people who live there did not displace from the crater area. The number of tweets posted during the anniversary day can, instead, indicate negative population variation because the higher the number of tweets, the more people can feel nostalgic after having relocated.
Motivators and Inhibitors for Women Superintendents
Authors: Harris Sandra 
Published: March 2023

Findings indicated that the top five motivators for women were desire to make a difference, ability to initiatechange, desire to positively impact people, and the personal and professional challenge. There were no significant differences for male superintendents. The top female inhibitors were increased time commitment, the amount of paperwork and bureaucracy, community politics, working with the school board, and isolation from the campus setting. Increased time commitment was significantly more important to females than to males.
To Lead or Not to Lead: Women Achieving Leadership Status in Higher Education
Authors: BlackChen Marsha 
Published: March 2023

The purpose of this article is to continue the dialogue and examine the exclusionary practices, and tenets on women as leaders in higher education. Too often women are left out of leadership positions in higher education, which engenders the perception or reality of these positions being androcentric. Women have also been faced with the daunting task of following in the footsteps of their male counterparts, and their experiences are never the same, because culturally and structurally, decisions are made differently. Higher education therefore needs to examine the value placed on female leaders, as theoretically, female leaders have been found to possess the various types of leadership qualities in order to be considered good leaders. These areas establish credibility, as we begin to examine the requisite ingredients of leadership. Women's representation in colleges and universities throughout the world is on the rise, and is increasingly approaching the gender parity of 50 percent (Bradley, 2000).Importantly, in the United States of America, more women are expected to occupy college professor's position, as they represent 58 percent of young adults between the ages of 25 to 29, many of who hold an advanced degree (U.S. Census Bureau News, 2011). These phenomenal strides are important to recognize. The argument is put forward that attitudinal and organization biases against women in higher education tend to exclude women from upper-level leadership positions. Therefore, the author examines theoretical underpinnings of the different approaches to leadership, as well as the cultural and structural conditions and practices that create barriers to, and opportunities for the advancement of women in higher education.
The Gendered Parenting of Political Leaders
Authors: Johansson Joakim , Bergström Linda Asplund 
Published: March 2023

Do we have different expectations of male and female politicians regarding parenting when young children are involved? If so, what are the implications for political citizenship? The aim of this article was to examine the construction of parenting and gender in the portrayal in Swedish print media of high-ranking politicians Gustav Fridolin, leader of the Green Party, and Birgitta Ohlsson, a Liberal Party member of the Swedish Government. The study covers reporting from 2010 up to the end of 2012. Methodologically, a discourse analysis based on discourse theory was performed, implying a textual analysis of 39 articles through gender theoretical lenses. Although fathers were seen as primary caregivers in some of the articles, a recurrent phenomenon was the repetition in Swedish newspaper articles of the idea that mothers rather than fathers should be considered primary caregivers. Furthermore, since Ohlsson was criticized for not choosing parental leave and the critical remarks about Fridolin were instead about him choosing parental leave, the different expectations on women as mothers and men as fathers in politics imply that even in a Nordic country context young children are a greater obstacle for female rather than for male politicians. Thus, gender inequalities between women's and men's political citizenship continue to persist in Sweden.
Finding Courage and Confirmation: Resisting Impostor Feelings through Relationships with Mentors, Romantic Partners, and Other Women in Leadership
Authors: Sanford Amy Aldridge , Ross Elaina M. Ross M. , Blake Shawna J. , Cambiano Renée L. 
Published: March 2023

The Impostor Phenomenon (IP) has recently reappeared in popular culture as a result of the bestseller Lean In. IP asserts that many successful people feel like frauds that will be discovered in time. Twenty-nine women in leadership were interviewed in this qualitative study, and it was discovered that the majority of them do not have impostor feelings. Their confidence can be attributed to strong relationships with mentors, romantic partners, and other women in leadership.
Leadership Practices of Texas Female Superintendents
Authors: Garrett-Staib Jessica , Burkman Amy 
Published: March 2023

For the purposes of this study, the Leadership Practices Inventory was administered to 82 superintendents in Texas and data including demographic information regarding the district size, gender, and age of the participants was collected. Superintendents in Texas were selected for two reasons: the study met the needs of universities in Texas, and the superintendent pool in Texas contains a wide variety of school sizes and demographics. The Leadership Practice Inventory (LPI) was selected because the validity and reliability has been assessed nationally and because it measures individual leadership practices rather than theoretical applications. The goal of this study is to look at practices and behaviors of women compared to men in the superintendency.
Impact of climate and anthropogenic changes on current and future variability in flows in the Nyong River Basin (equatorial Central Africa)
Authors: Ebodé Valentin Brice 
Published: March 2023

Abstract
Due to climate and environmental changes, sub-Saharan Africa (SSA) has experienced several drought and flood events in recent decades with serious consequences on the economy of the sub-region. In this context, the region needs to enhance its capacity in water resources management, based on both good knowledge of contemporary variations in river flows and reliable forecasts. The objective of this article was to study the evolution of current and future flows in the Nyong River Basin (NRB) in Cameroon. To achieve this, the Pettitt and modified Mann–Kendall tests were used to analyze the hydrometeorological time series in the basin. The SWAT model was used to simulate the future flows in the NRB. During the 1970s, the Nyong basin experienced a joint decrease in rainfall and flow. Despite a general decrease in future precipitation, a significant increase in runoff is expected in this basin, regardless of the period (2022–2060 or 2061–2100), the model (RCA4 or CCCma) and the scenario (representative concentration pathway (RCP) 4.5 or RCP8.5). This increase in flow will be the result of the increase in impervious areas to the detriment of forest in the basin, which will compensate for the drop in precipitation with an increase in runoff.
Electrochemical treatment of real cotton fabric industry wastewater using copper and stainless steel electrodes
Authors: M S Thanushree , Mahadevappa Mahadevaswamy , Shivaswamy Mahesh , Mahesh Sahana , Premanandasagar Chiranth 
Published: March 2023

Abstract
Real cotton fabric industry wastewater (CFIWW) was treated using the novel electrochemical coagulation (ECC) technology by stainless steel (SS) and copper (Cu) electrodes for applied cell current 1.5 and 4.4 A for a maximum electrolysis time of 30 min. Pre-characterization of CFIWW before ECC showed higher values of chemical oxygen demand (COD), colour, chloride, alkalinity and other quality parameters. Removal of COD and total dissolved solids (TDS) was 97 and 94% for 30.2 V and 4.4 A while using a Cu electrode. The ECC obtained sludge produced 3.13 g/L for Cu and 11.2 g/L for SS for 4.4 A, and 0.43 and 3.98 g/L for 1.5 A. The analysis of ECC sludge was conducted using a scanning electron microscope (SEM), energy dispersive X-ray spectroscopy (EDS) and Fourier-transform infrared spectroscopy (FT-IR). The SEM images of ECC sludge showed unstructured, irregular morphology with uneven edges and rough surfaces. The elemental composition of sludge was studied using EDS showing the presence of copper, oxygen, sodium, sulphur and iron. The FT-IR spectra of ECC sludge for Cu- and SS-mediated ECC-generated sludge showed the presence of alcohol and carboxyl groups at several wave numbers. The specific energy consumption (SEC) for Cu was lower than SS.
Multi-criteria decision support system for selecting the rainwater harvesting technique in wadi systems, Sinai, Egypt
Authors: Abdelkader Mohamed M. , Mahmoud Usama F. , Mobasher Amir M. , Reda Mohamed A. 
Published: March 2023

Abstract
Recently, some areas are exposed to water scarcity and floods, and rainwater harvesting (RWH) is a practical solution, particularly in arid and semi-arid regions. The Wadi Watier basin located in South Sinai, Egypt was selected to identify the appropriate RWH techniques. Five alternatives were proposed: a dam with a reservoir, a storage pond, an underground tank, wadi bed cultivation, or a Jessor system. The hydrological model was built using the WMS software to determine the runoff volume at the proposed RWH sites. Multiple criteria were identified and classified based on their suitability degree. Then, an analytic hierarchy process (AHP) was used to assign the effective weight of each evaluation criterion. The AHP revealed that the wadi slope and initial cost have the highest evaluation influence of 20%, followed by the wadi width of 15%. The rainfall volume, social acceptance, and cost revenue have moderate influences with weights from 8 to 11%. Finally, the storage ponds and underground tanks recorded the highest-suitability evaluations at the selected RWH sites, at 65.4 and 62.7%, respectively. The dam with a reservoir recorded 49.3%, which is considered medium suitability, while wadi bed cultivation and Jessor systems were classified as low-suitability evaluations with 42.7 and 41.7%, respectively.