bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preterm management of sickle cell crisis in a twin pregnancy with suboptimal antenatal care in a primary healthcare facility: A case report from Cameroon and literature review
Authors: Tih William Ntchompbopughu , Takang William Ako , Egbe Thomas Obinchemti 
Published: October 2023

Key Clinical MessageTwin pregnancies in homozygous sickle cell patients are not only uncommon in our setting but are most often associated with adverse maternal–fetal outcomes especially in primary healthcare facilities where most of these cases initially present due to financial constraints, though lacking the necessary technical platform (including blood banks) to properly manage them.AbstractWe are reporting the case of the preterm management of sickle cell crises in a twin pregnancy with poor antenatal care uptake in a primary healthcare facility devoid of a blood bank in Cameroon. Ngungi Fely, a 21‐year‐old HbSS patient, of the Bakweri tribe G3P0020, blood group O rhesus positive, was admitted at our health facility at 33 3/7 weeks' gestation with twin pregnancy, clinical anemia (hemoglobin 3.3 g/dL), the pulse rate of 123 beats/min, the respiratory rate of 38 breaths per min, the temperature of 39.2°C, and altered state of consciousness. She has a history of two spontaneous abortions (16 and 18 weeks’ gestation) and has attended three antenatal care (ANC) visits (18, 24, and 28 weeks’ gestation) for the index pregnancy. She underwent cesarean delivery of two live‐born babies at 35 4/7 weeks' gestation and received 9 units of compatible blood (before, during, and after the cesarean) partly with the help of the “Blood Track Program” (which uses text messages to seek blood donors). The babies were referred to a secondary healthcare facility and the mother and babies' outcomes were uneventful. Sickle cell disease (SCD) in pregnancy is difficult to manage in primary care settings in Cameroon because of a poor technical platform. A multidisciplinary approach to the management of SCD in pregnancy is the mainstay in secondary and tertiary healthcare centers. The “Blood Track Program” is a good initiative that should be extended nationwide in Cameroon to reduce the burden of acquiring blood for transfusion, particularly in primary care centers devoid of blood banks.
Schistosomus reflexus dystocia in a crossbred dairy cow
Authors: Munif Mohammad Raguib , Bhuiyan Mohammad Musharraf Uddin , Safawat Mst. Sanjida , Rahman Md. Sabuj 
Published: October 2023

Key Clinical MessageSchistosomus reflexus (SR), an unusual congenital defect in calves, can be diagnosed grossly by exposed viscera and curved spine with hindquarters twisted up toward the head. SR is typically associated with dystocia and fetal deaths in cows. Hence, cattle breeding programs must be aware of these anomalies to avoid losses from abnormal, non‐viable calves.AbstractSchistosomus reflexus (SR) is a rare and fatal congenital malformation in bovines from autosomal recessive disorders. We report a typical case of SR in a non‐viable calf after the cesarean section of a crossbred Friesian cow. It was characterized by the inversion of the spinal column and a pronounced ventral curvature causing the cranium to be positioned near the sacrum and tail, along with exposed thoracic and abdominal viscera, limb ankylosis, and tongue protrusion. The postoperative management of the cow, along with the outcome, is also described here.
Direct Synthesis of Organonitrogen Compounds from Dinitrogen Using Transition Metal Complexes: Leap from Stoichiometric Reactions to Catalytic Reactions
Authors: Suginome Shun , Nishibayashi Yoshiaki 
Published: October 2023

AbstractOrganonitrogen compounds are of vital importance to our lives. For almost all organonitrogen compounds, ammonia is only the feedstock as a nitrogen source. Ammonia is produced from dinitrogen (N2) and dihydrogen (H2) by the Haber‐Bosch process, which consumes an enormous amount of energy. As an alternative method to convert N2 into organonitrogen compounds under milder conditions, various stoichiometric reactions with transition metal complexes have been explored for the last 50 years. However, the field of catalytic formation of organonitrogen compounds directly from N2 with transition metal complexes is still in its infancy. This short review summarizes strategies to achieve the direct synthesis of organonitrogen compounds from N2 under mild reaction conditions using transition metal complexes ranging from stoichiometric reactions to catalytic reactions.
Reaction Engineering and Comparison of Electroenzymatic and Enzymatic ATP Regeneration Systems
Authors: Siedentop Regine , Prenzel Tobias , Waldvogel Siegfried R. , Rosenthal Katrin , Lütz Stephan 
Published: October 2023

AbstractAdenosine‐5’‐triphosphate (ATP) plays a crucial role in many biocatalytic reactions and its regeneration can influence the performance of a related enzymatic reaction significantly. Here, we established electrochemically coupled ATP regeneration by pyruvate oxidase and acetate kinase (ACK) for the phosphorylation of mevalonate catalyzed by mevalonate kinase. A yield of 84 % for the product mevalonate phosphate was reached and a total turnover number for ADP of 68. These metrics are promising for the development of an economic feasible bioprocess and surpass many other enzymatic ATP regeneration systems. A comparison was made to polyphosphate kinases (PPKs), ACK, pyruvate kinase, and creatine kinase in terms of the phosphate donor properties and biocatalytic metrics of exemplary reactions. Furthermore, our system was expanded by a PPK that enables the phosphorylation of AMP, which can broaden the spectrum of applications even further.
Mechanistic Avenues in the Chan‐Lam‐Based Etherification Reaction: A Computational Exploration
Authors: Pooventhiran Thangaiyan , Khilari Nripen , Koley Debasis 
Published: October 2023

AbstractOngoing advances in CuII‐catalyzed aerobic oxidative coupling reactions between arylboronic esters and diverse heteroatom nucleophiles have strengthened the development of the general Chan‐Lam (CL)‐based reaction protocol, including C−O bond formation methodologies. In‐depth mechanistic understanding of CL etherification with specific emphasis on different reaction routes and their energetics are still lacking, even though the reaction has been experimentally explored. Here, we present a DFT‐guided computational study to unravel the mechanistic pathways of CL‐based etherification. The computational findings provide some interesting insights into the fundamental steps of the catalytic cycle, particularly the rate‐determining transmetalation event. An aryl boronic ester‐coordinated, methoxide‐bridged CuII intermediate that acts as resting state undergoes transmetalation with an activation barrier of 20.4 kcal mol−1. The energy spans of the remaining fundamental steps leading to the methoxylated product are relatively low. The minor p‐cresol product requires an additional 14.2 kcal mol−1 energy span to surmount in comparison to the favored route. Hammett studies for the substituted aryl boronic esters reveal higher reaction turnovers for electron‐rich aryl systems. The results agree with previously reported spectroscopic and kinetic observations. For a series of alcohol substrates, it was observed that, except for cyclohexanol, moderate to high etherification turnovers are predicted.
Short‐term estimations of PM10 concentration in the Middle Black Sea region based on grey prediction models
Authors: Aykaç Özen Hülya , Öbekcan Hamdi 
Published: October 2023

AbstractThe Middle Black Sea region has experienced severe air pollution, with a significant increase in particulate matter (PM) concentration due to a growth in population, financial activity, and an expansion of transportation in recent years. Therefore, the prediction of PM concentration has become a topic of great significance to reduce air pollution and assess the effects on public health. In this study, the grey prediction model (GM (1,1)), the discrete grey model (DGM (1,1)), and the grey Verhulst model (GVM (1,1)) were used to estimate the PM10 concentration of the cities Amasya, Çorum, Ordu, and Samsun in the Middle Black Sea region, for the period from 2022 to 2026. The accuracy of the GM (1,1), DGM (1,1), and GVM (1,1) models in fitting data was calculated using the mean absolute percentage error (MAPE) value. Since three types of prediction models of MAPEs were less than 20%, they were considered a good value for prediction performance. Furthermore, the results showed that the PM10 concentrations of Amasya, Çorum, and Ordu showed a downward trend over the next 5 years. However, the GVM (1,1) model showed an upward trend in the yearly average PM10 concentration in Samsun. In conclusion, these models could be considered a reliable approach in early warning systems for emissions reduction and as a long‐term policy for managing air quality in the Middle Black Sea region.
Genetic and sporadic forms of tauopathies—TAU as a disease driver for the majority of patients but the minority of tauopathies
Authors: Zempel Hans 
Published: October 2023

AbstractAgeing‐associated tauopathies like frontotemporal dementia (FTD), variants thereof (like progressive supranuclear palsy (PSP), pick diseases (PiD), corticobasal degeneration (CBD)), and of course the most prevalent form of dementia, Alzheimer Disease (AD), are widely recognized forms of tauopathies. The list of tauopathies is expanding. We now include: (i) tauopathies where the disease cause or trigger is clearly either physical, such as in Traumatic Brain Injury (TBI) or Chronic Traumatic Encephalopathy (CTE), and (ii) genetic diseases that result in tauopathy but have pathogenic genetic variants in genes not related to TAU. Examples of the latter are myotonic dystrophy Type 1 and Type 2 (DM1, DM2, due to pathogenic genetic variants in the genes DMPK and CNBP, respectively), Niemann–Pick Disease Type C (NPD, due to mutations in NPC1 or NPC2), Kufs Disease (CLN6), Christianson Syndrome (SLC9A6), familial forms of Parkinson Disease (PD), and many others. In terms of affected brain regions and cell types, intracellular distribution of TAU pathology/aggregates, age of disease onset, velocity of disease progression and spreading of TAU pathology, there is, however, little in common in most of these disease entities. Here, I reason that TAU/MAPT is causative for the minority of tauopathies (e.g., MAPT‐related FTD/PSP and Vacuolar Tauopathy (VCP)) and a critical mediator for others, like shown by overwhelming evidence for AD. However, TAU may also be a mere bystander or even protective in other settings. Improved understanding of rare tauopathies is necessary to develop specific treatments, but also to improve our understanding of the pathomechanistic role of TAU and to identify diseases that may profit from TAU‐based therapies.
Post‐quantum secure two‐party computing protocols against malicious adversaries
Authors: Huo Yachao , Zhao Zongqu , Qin Panke , Wang Shujing , Zheng Chengfu 
Published: October 2023

SummarySecure two‐party computation allows a pair of parties to compute a function together while keeping their inputs private. Ultimately, each party receives only its own correct output. In this paper, a post‐quantum secure two‐party computation protocol is proposed that can be used to effectively block malicious parties. The protocol solves the problems of traditional protocols based on garbled circuits, which are vulnerable to quantum attacks, high communication costs and low computational efficiency. The input garbled keys of the circuit constructor is structured as a Learning with Error (LWE) equation, enabling the circuit constructor to employ a zero‐knowledge proof that demonstrates the uniformity of inputs across all circuits.In the key transfer phase, an LWE‐based batch single‐choice cut‐and‐choose oblivious transfer is proposed to avoid selective failure attacks. In addition, the protocol employs a penalty mechanism to detect if the circuit constructor has generated an incorrect circuit. We have compared the communication overhead of this protocol with three other secure two‐party computation protocols based on Cut‐and‐Choose technology. The analytical results show that this protocol has the best error probability and is resilient to quantum attacks under the malicious adversary model. In addition, with appropriate parameters, the protocol is able to reduce its communication bandwidth by an average of 40.41%.
JOCP: A jointly optimized clustering protocol for industrial wireless sensor networks using double‐layer selection evolutionary algorithm
Authors: Wu Di , Yang Zhen , Li Tong , Liu Junrui 
Published: October 2023

SummaryIndustrial Wireless Sensor Networks (IWSNs) have gained significant popularity for their ability to improve plant productivity and production efficiency through self‐organization and rapid deployment. However, the challenge of achieving reliable and sustainable data transmission remains due to the large amount of heterogeneous data generated by large‐scale IWSNs. In this paper, we present a systematic approach that addresses this challenge by focusing on data transmission clustering strategies, optimal cluster head selection, and routing design. We propose a novel Jointly Optimized Clustering Protocol (JOCP), which enhances cluster head selection by considering multiple critical factors that impact the IWSN life cycle. JOCP incorporates two key modules: the many‐objective clustering model and the double‐layer selection evolutionary algorithm. Specifically, the many‐objective clustering model considers cluster head selection from different perspectives, including maximum node survival cycle, minimum node distance, minimum network overall energy consumption, and balanced cluster energy consumption, with the aim of extending the network life cycle. Additionally, the double‐layer selection evolutionary algorithm optimizes the many‐objective clustering model to select appropriate cluster heads. Through performance verification, we demonstrate that the JOCP protocol effectively enhances the network life cycle and increases the number of surviving nodes compared to baseline clustering algorithms. Our research provides a comprehensive solution to the challenges associated with reliable and sustainable data transmission in large‐scale IWSNs, highlighting the potential for improved performance in industrial applications.
Discrete spider monkey optimization algorithm for latency‐sensitive VNF deployment and resource allocation
Authors: Liu Xinran , Hou Yonghong , Liu Hongchen 
Published: October 2023

SummaryThe next‐generation networks are expected to support diverse latency‐sensitive services, that is, auto‐driving, telemedicine, and so on. Deploying these services in current hardware‐based networks faces significant challenges. The emergence of network function virtualization (NFV) and software defined network (SDN) makes network deployment flexible and agile. In order to meet the strict latency constraints, joint VNF deployment and resource allocation problems are needed. In this paper, we consider the resource‐delay interpendency and formulate the joint VNF deployment and resource allocation problems as linear programming (LP) problems. Discrete spider monkey optimization (DSMO) algorithm is proposed to solve this problem, which imitates spider monkeys' fission and fusion social behavior during foraging. The two‐phase decision update mechanism greatly increases the diversity of the spider monkey decision population and promotes the algorithm to perform a global search of the solution space. Evaluation results show that the proposed solutions achieve superior performance in terms of latency, CPU utilization and service acceptance rate.
The effect of physical and emotional partner violence exerted during pregnancy on prenatal attachment and depression levels in pregnant women
Authors: Alan Dikmen Hacer , Tetikçok Cevriye Ocaktan 
Published: October 2023

AbstractExposure of pregnant women to physical and emotional violence during pregnancy adversely affects the health of the mother and the fetus. This study aimed to assess the effects of emotional and physical partner violence on prenatal attachment and depression levels in pregnant women. Five‐hundred and ten pregnant women in the second and third trimesters were included in the study. A personal information form, the Epidemiological Research Center Depression Scale, and the prenatal attachment inventory (PAI) were used for data collection. Although 7.5% of the pregnant women were exposed to physical partner violence during pregnancy, 24.3% were exposed to emotional partner violence. Depression was observed in 86.9% of the pregnant women, whereas the mean PAI score was 37.29 ± 10.504. There was a statistically significant relationship between the pregnant women's exposure to physical (p = .046) and emotional partner violence (p < .001) and depression. In this study, it was determined that pregnant women's exposure to emotional partner violence poses a risk for depression during pregnancy (p < .002; odds ratio = .143). As professionals working with pregnant women, obstetricians and maternity nurses should inquire about the exposure of pregnant women to partner violence during antenatal follow‐ups.
Reporting racism in broadcast interview
Authors: Xie Yarong 
Published: October 2023

AbstractThis study examines invited reports of racism in broadcast interviews. Guided by discursive psychology (DP) and conversation analysis (CA), the investigation focuses on the interactional moments wherein the interviewee (is invited to) describe a racist incident. Expanding existing DP and CA research on complaints of racism, this analysis shows how reported speech is treated by speakers as an indispensable device in reproducing the incident and providing evidence for the racism reported. This investigation provides further evidence for how speakers treat reporting racism as a sensitive business. This is reflected in the interviewee's accounts as they begin by describing the circumstance of the incident, and the interviewer's collaboration in co‐constructing the interviewee's accounts and co‐managing the trajectory of the interview. Overall, the analysis spotlights how an auspicious environment for victims to talk about their experiences of racism is created and fostered at both institutional and interactional levels.
Effects of biased extrapolation on attitude extremity
Authors: Decker Kaleigh A. , Lord Charles G. 
Published: October 2023

AbstractPrevious research has shown that merely thinking about an attitude object can make both positive and negative attitudes more extreme. The present research explored whether a specific type of thought—extrapolating from known to unknown attributes—might make attitudes and behavioural intentions more extreme than reviewing known attributes. In three experiments, extrapolating from a social group's ‘known’ personality traits made positive and negative attitudes and behavioural intentions more extreme than reviewing those traits. This pattern of results occurred whether participants self‐generated extrapolations (Experiment 1) or rated the likelihood of frequently extrapolated traits (Experiment 2). Attitudes were also more extreme after extrapolating traits high versus low in cognitive relevance to known traits, regardless of trait positivity/negativity (Experiment 3). In all three experiments, the effect of biased trait extrapolation on attitude extremity was mediated by more extreme associations with the extrapolated group. The current findings are consistent with attitude theories that emphasize cognitive processes.
Gut microbiota and childhood malnutrition: Understanding the link and exploring therapeutic interventions
Authors: Zoghi Sevda , Sadeghpour Heravi Fatemah , Nikniaz Zeinab , Shirmohamadi Masoud , Moaddab Seyed Yaghoub , Ebrahimzadeh Leylabadlo Hamed 
Published: October 2023

AbstractChildhood malnutrition is a metabolic condition that affects the physical and mental well‐being of children and leads to resultant disorders in maturity. The development of childhood malnutrition is influenced by a number of physiological and environmental factors including metabolic stress, infections, diet, genetic variables, and gut microbiota. The imbalanced gut microbiota is one of the main environmental risk factors that significantly influence host physiology and childhood malnutrition progression. In this review, we have evaluated the gut microbiota association with undernutrition and overnutrition in children, and then the quantitative and qualitative significance of gut dysbiosis in order to reveal the impact of gut microbiota modification using probiotics, prebiotics, synbiotics, postbiotics, fecal microbiota transplantation, and engineering biology methods as new therapeutic challenges in the management of disturbed energy homeostasis. Understanding the host–microbiota interaction and the remote regulation of other organs and pathways by gut microbiota can improve the effectiveness of new therapeutic approaches and mitigate the negative consequences of childhood malnutrition.
Optimal site selection for solar plant using analytical hierarchy process (AHP): A case study in Bangladesh
Authors: Ara Anjuman , Zohora Fatima Tuz , Nurul Nabila , Tanvir Anzum , Ahmed Naseem 
Published: October 2023

AbstractSolar energy is one of the sources of renewable energy which is clean, affordable, and limitless. Despite Bangladesh having a significant potential for solar energy for its excellent geographic location, relatively low research work on location selection for the establishment of solar plants and little attempt has been taken to expand the solar energy industry. The optimal location for a solar plant to be built is the main objective of this research. Considering several aspects, five potential locations are selected utilizing the geographic data to find the optimal location and the Analytic Hierarchy Process (AHP) which is one of the multi‐models assessment techniques implemented to get the ideal site for solar power plants. While applying this method, some expert survey has been done via Google Form where some of the principal impact factors are set up like questionnaire and obtained the weight for the criteria for the AHP method. The results of the current analysis indicate that Rajshahi is obtained as best location for solar plant establishment followed by Ishwardi, Chattogram, Chuadanga, and Mymensingh. This work will enable to propose an effective, practical, and structured decision‐making framework that could aid policymakers in Bangladesh to select the best locations for solar farms.