bluuebunny/crossref_metadata_2025_split huggingface dataset:
Morphological and histological description of the midgut caeca in true crabs (Malacostraca: Decapoda: Brachyura): origin, development and potential role
Authors: Castejón Diego , Rotllant Guiomar , Alba-Tercedor Javier , Ribes Enric , Durfort Mercè , Guerao Guillermo 
Published: February 2022

AbstractBackgroundThe decapods are a major group of crustaceans that includes shrimps, prawns, crayfishes, lobsters, and crabs. Several studies focused on the study of the digestive system of the decapods, constituted by the oesophagus, stomach, midgut tract, midgut gland, and hindgut. Nevertheless, in the midgut tract there are associated a set of organs called “midgut caeca”, which are among the most controversial and less studied digestive organs of this group. This work used the common spider crabMaja brachydactylaBalss, 1922 as a model to resolve the origin, development, and potential role of the midgut caeca. Such organs were studied in the larvae (zoea I, zoea II, megalopa), first juveniles, and adult phases, being employed traditional and modern techniques: dissection, micro-computed tomography (Micro-CT), and light and electron microscopical analyses (TEM and SEM).ResultsThe common spider crab has a pair of anterior midgut caeca and a single posterior caecum that originate from the endoderm germ layer: they develop from the midgut tract, and their epithelium is composed by secretory cells while lacking a cuticle lining. The midgut caeca are small buds in the newly hatched larvae, enlarge linearly during the larval development, and then continue growing until became elongated and coiled blind-tubules in adults. The adult midgut caeca are internally folded to increase their inner surface. The electron microscopy observations showed that the midgut caeca are highly active organs with important macroapocrine and microapocrine secretory activity. Our results suggest that the role of the caeca might be related to the digestive enzyme secretion. The secretory activity should increase as the animal grows in size.ConclusionThe present study resolves the embryonic origin of the midgut caeca (endoderm derived organs), development (general lengthening starting from small buds), and role (active secretory organs). The secretory activity of the midgut caeca should be incorporated in the current models of the digestive physiology in different decapod taxa.
Anesthetic management of complicated placenta percreta
Authors: Kumar Rajnish , Sahay Nishant , Naaz Shagufta , Kumar Rajesh 
Published: February 2022

Abstract
Background
Placenta percreta is a severe form of placenta accreta in which the placenta penetrates the entire uterine wall and attaches to another organ such as the bladder and bowel. It gives rise to a major obstetric hemorrhage, peripartum hysterectomy, and maternal and fetal morbidity and mortality.

Case presentation
I present a 34-year-old female of 24 week gestation a case of placenta percreta with a history of bleeding per vagina for the last 1 month for that she received 11 units of blood transfusion. Placenta percreta with fetal demise was diagnosed in magnetic resonance imaging on admission. Uterine artery embolization was done to reduce perioperative bleeding. Hysterectomy was done successfully with the multidisciplinary team approach under general anesthesia.

Conclusions
So, proper preoperative planning and good communication with the multidisciplinary approach will make a better outcome in these types of cases.
Design of a multi-epitope-based peptide vaccine against the S and N proteins of SARS-COV-2 using immunoinformatics approach
Authors: Rouzbahani Arian Karimi , Kheirandish Farnaz , Hosseini Seyedeh Zeinab 
Published: February 2022

Abstract
Background
As the new pandemic created by COVID-19 virus created the need of rapid acquisition of a suitable vaccine against SARS-CoV-2 to develop Immunity and to reduce the mortality, the aim of this study was to identify SARS-CoV-2 S protein and N antigenic epitopes by using immunoinformatic methods to design a vaccine against SARS-CoV-2, for which S and N protein-dependent epitopes are predicted. B cell, CTL and HTL were determined based on antigenicity, allergenicity and toxicity that were non-allergenic, non-toxic, and antigenic and were selected for the design of a multi-epitope vaccine structure. Then, in order to increase the safety of Hbd-3 and Hbd-2 as adjuvants, they were connected to the N and C terminals of the vaccine construct, respectively, with a linker. The three-dimensional structure of the structure was predicted and optimized, and its quality was evaluated. The vaccine construct was ligated to MHCI. Finally, after optimizing the codon to increase expression in E. coli K12, the vaccine construct was cloned into pET28a (+) vector.

Results
Epitopes which were used in our survey were based on non-allergenic, non-toxic and antigenic. Therefore, 543-amino-acid-long multi-epitope vaccine formation was invented through linking 9 cytotoxic CTL, 5 HTL and 14 B cell epitopes with appropriate adjuvants and connectors that can control the SARS coronavirus 2 infection and could be more assessed in medical scientific researches.

Conclusion
We believe that the proposed multi-epitope vaccine can effectively evoke an immune response toward SARS-CoV-2.
Congenital granular cell tumor in a neonate—a case report
Authors: Shah Amar A. , Shah Anirudh V. 
Published: February 2022

Abstract
Background
Congenital granular cell tumor (CGCT) is a rare benign soft tissue tumor of the new born. It is also called congenital epulis.

Case presentation
We report the case of a 3-day-old male neonate who was postnatally noted to have a 2-cm mass over the maxillary alveolar ridge in the midline. The mass was causing feeding difficulties, and hence, decision for surgical excision was taken. The postoperative recovery was uneventful.

Conclusion
Congenital granular cell tumor (CGCT) is commonly seen on the gingival margins of the maxilla or mandible. Large tumors may cause polyhydramnios in the antenatal period or feeding and respiratory difficulties in the postnatal period. Diagnosis is usually confirmed by histopathology. Malignant change or recurrence has not been reported following incomplete excision of this mass.
The mobility of continental shale oil by gas flooding and influencing factors based on displacement-nuclear magnetic resonance instruments
Authors: Huo Qiuli , Fu Li , Wang Min , Li Ming , Zhang Jinxu , Zeng Huaseng 
Published: February 2022

The efficient development of shale oil is a challenging problem for researchers. Conventional experiments for characterizing fluid distribution encounter a bottleneck because of the special composition, complex pore structure, and unclear fluid occurrence in shale oil reservoirs. Targeting continental shale in eastern China, we used high-temperature and high-pressure displacement instruments combined with nuclear magnetic resonance instruments for the first time to evaluate the shale oil mobility under different gases ([Formula: see text], [Formula: see text], and [Formula: see text]) flooding for simulating “huff-n-puff” in the field. Results found that the gas flooding can significantly improve the mobility of shale oil. Compared with [Formula: see text] and [Formula: see text], [Formula: see text] had obvious advantages in improving the mobility of shale oil. Under an injection pressure of 6.0 MPa, the experimental average movable ratio was 22.3%, and the theoretical maximum movable ratio was 39.3%. Organic matter abundance, mineral composition, sedimentary structures, and pore structure determine the movable ratio of gas flooding by affecting the permeable channel, phase state of the injected gas, and gas-oil contact. Gas flooding has broad prospects in the exploitation of continental shale oil considering difficult development and abundant gas source in the eastern basin of China.
Impact of Diagnostic Delays on Lung Cancer Survival Outcomes: A Population Study of the US SEER-Medicare Database
Authors: Romine Perrin E. , Sun Qin , Fedorenko Catherine , Li Li , Tang Mariel , Eaton Keith D. , Goulart Bernardo H.L. , Martins Renato G. 
Published: February 2022

PURPOSE: Time from diagnosis to treatment has been associated with worse survival outcomes in non–small-cell lung cancer (NSCLC). However, little is known about the impact of delay in time to diagnosis. We aimed to evaluate the impact of time from radiographic suspicion to histologic diagnosis on survival outcomes using the US SEER-Medicare population database. METHODS: We identified patients from the SEER-Medicare data set diagnosed with any stage NSCLC between January 1, 2011, and December 31, 2015, who received stage-appropriate treatment and had a computed tomography scan within 1 year of diagnosis. Time to confirmation was determined as the interval between most recent computed tomography imaging and date of histologic diagnosis. Our primary outcome was overall survival (OS). RESULTS: In total, 10,824 eligible patients were identified. The median time to confirmation was 20 (range 0-363) days. Using multivariate Cox regression models, longer time to confirmation was associated with improved OS in all comers driven by stage IV patients after adjustment for age, sex, diagnosis year, histology, and comorbidity index. In a separate landmark analysis excluding patients deceased within 6 months of diagnosis, the association between time to diagnosis and survival was no longer evident. CONCLUSION: Time to confirmation of NSCLC was inversely associated with OS in this US SEER population study. This association was lost when patients deceased within 6 months of diagnosis were excluded, suggesting that retrospective registry-claims databases may not be the optimal data source to study time to diagnosis as a quality metric because of the unaccounted confounding effects of tumor behavior. Prospective evaluations of clinically enriched data sources may better serve this purpose.
Una larga cadena de oro: Memorias coloniales y contemporáneas sobre Huáscar Inca
Authors: Martínez S. Paula , Martínez C. José Luis 
Published: February 2022

AbstractExiste un conjunto de registros documentales y visuales que nos permite afirmar que desde el inicio del período colonial se produjeron cantos y memorias sobre el Inca Huáscar. Con base en dichos registros postulamos la existencia de un ciclo de memoria sobre este Inca presente en relatos orales, pinturas, qeros y festividades. Este ciclo se extiende desde el siglo xvi hasta la actualidad y abarca una amplia extensión geográfica que trasciende las fronteras del antiguo Imperio inca. Proponemos que este ciclo forma parte de un sistema más amplio de memorias que describimos en este artículo.
Synthesis of bismuth oxyhalide (BiOBrzI(1-z)) solid solutions for photodegradation of methylene blue dye
Authors: Gembo Robert O. , Aoyi Ochieng , Majoni Stephen , Etale Anita , Odisitse Sebusi , King'ondu Cecil K. 
Published: February 2022

Background: The removal of textile wastes is a priority due to their mutagenic and carcinogenic properties. In this study, bismuth oxyhalide was used in the removal of methylene blue (MB) which is a textile waste. The main objective of this study was to develop and investigate the applicability of a bismuth oxyhalide (BiOBrzI(1-z)) solid solutions in the photodegradation of MB under solar and ultraviolet (UV) light irradiation. Methods: Bismuth oxyhalide (BiOBrzI(1-z)) (0 ≤ z ≤ 1) materials were successfully prepared through the hydrothermal method. Brunauer-Emmett-Teller (BET), transmission electron microscope (TEM), X-ray diffractometer (XRD), and scanning electron microscope (SEM) were used to determine the surface area, microstructure, crystal structure, and morphology of the resultant products. The photocatalytic performance of BiOBrzI(1-z) materials was examined through methylene blue (MB) degradation under UV light and solar irradiation. Results: The XRD showed that BiOBrzI(1-z) materials crystallized into a tetragonal crystal structure with (102) peak slightly shifting to lower diffraction angle with an increase in the amount of iodide (I-). BiOBr0.6I0.4 materials showed a point of zero charge of 5.29 and presented the highest photocatalytic activity in the removal of MB with 99% and 88% efficiency under solar and UV irradiation, respectively. The kinetics studies of MB removal by BiOBrzI(1-z) materials showed that the degradation process followed nonlinear pseudo-first-order model indicating that the removal of MB depends on the population of the adsorption sites. Trapping experiments confirmed that photogenerated holes (h+) and superoxide radicals (•O2−) are the key species responsible for the degradation of MB. Conclusions: This study shows that bismuth oxyhalide materials are very active in the degradation of methylene blue dye using sunlight and thus they have great potential in safeguarding public health and the environment from the dye’s degradation standpoint. Moreover, the experimental results agree with nonlinear fitting.
A survey on knowledge, attitude, and practice about antibiotic prescribing and resistance among medical practitioners in Kenya
Authors: Kamita Moses , Mutungi Joe Kimanthi , Mungai Samuel , Mureithi Dominic , Kijogi Caroline , Kimani Racheal , Ndegwa Davies , Maina Jeremiah , Gitaka Jesse 
Published: February 2022

Background Antibiotic resistance is a growing global health threat worldwide and especially in developing countries. Irrational antibiotic prescription as well as lack of the requisite knowledge and awareness of proper antibiotic use are major drivers of antibiotic resistance. In Kenya, although the Ministry of Health has developed antibiotic use guidelines, these guidelines are not widely followed. Antibiotic prescription is, therefore, hugely at the discretion of the clinician. It is thus necessary to understand the knowledge, attitude, and practices (KAP) of antibiotic prescription among medical practitioners in the country. This study aimed to evaluate the knowledge, attitude, and practices (KAP) among antibiotic prescribers in three counties (Kiambu, Nakuru, and Bungoma) in Kenya. Methods This was a cross-sectional study using a self-administered questionnaire. Simple descriptive statistics were used to generate frequencies, percentages, and proportions. Where necessary, univariate analyses such as Pearson’s chi-square were performed to compare proportions for statistical significance. Results From the three counties, 240 respondents recorded their responses: 30% from Kiambu, 34.6% from Nakuru, and 35.4% from Bungoma. The respondents included 19 (7.9%) consultants, 66 (27.4%) medical officers, 135 (56.3%) clinical officers and 20 (8.3%) pharmacists. Of all respondents, more than 90% agreed or strongly agreed that antibiotic resistance (ABR) is a catastrophe worldwide and in Kenya. However, the proportion of the respondents who either agreed or strongly agreed (71.6%) that antibiotic resistance is a problem in their respective health facilities was significantly lower (ρ=0.013). Conclusion This study revealed that most medical practitioners were aware and knowledgeable about antibiotic resistance. However, there was a disconnect with mitigation measures such as active antibiotic stewardship and laboratory analyses to support judicious prescription. There is, therefore, a need for continuous education and stewardship interventions.
Characterising and Addressing the Psychosocial Impact of Tuberculosis in Indonesia (CAPITA): A study protocol
Authors: Fuady Ahmad , Fitriangga Agus , Sugiharto Agus , Arifin Bustanul , Yunita Ferdiana , Yani Finny Fitry , Nasution Helmi Suryani , Putra I Wayan Gede Artawan Eka , Rauf Saidah , Mansyur Muchtaruddin , Wingfield Tom 
Published: February 2022

Background: Tuberculosis (TB)-related stigma remains a key barrier for people with TB to access and engage with TB services and can contribute to the development of mental illnesses. This study aims to characterise stigmatisation towards people with TB and its psychosocial impact in Indonesia. Methods: This study will apply a sequential mixed method in two main settings: TB services-based population (setting 1) and workplace-based population (setting 2). In setting 1, we will interview 770 adults with TB who undergo sensitive-drug TB treatment in seven provinces of Indonesia. The interview will use the validated TB Stigma Scale questionnaire, Patient Health Questionnaire-9, and EQ-5D-5L to assess stigma, mental illness, and quality of life. In Setting 2, we will deploy an online questionnaire to 640 adult employees in 12 public and private companies. The quantitative data will be followed by in-depth interview to TB-related stakeholders. Results: CAPITA will not only characterise the enacted stigma which are directly experienced by people with TB, but also self-stigma felt by people with TB, secondary stigma faced by their family members, and structural stigma related to the law and policy. The qualitative analyses will strengthen the quantitative findings to formulate the potential policy direction for zero TB stigma in health service facilities and workplaces. Involving all stakeholders, i.e., people with TB, healthcare workers, National Tuberculosis Program officers, The Ministry of Health Workforce, company managers, and employees, will enhance the policy formulation. The validated tool to measure TB-related stigma will also be promoted for scaling up to be implemented at the national level. Conclusions: To improve patient-centered TB control strategy policy, it is essential to characterise and address TB-related stigma and mental illness and explore the needs for psychosocial support for an effective intervention to mitigate the psychosocial impact of TB.
The use of radio frequency currents in musculoskeletal injuries
Authors: Ciechanowska Katarzyna 
Published: February 2022

Elektroterapia to dział medycyny fizykalnej, który wykorzystuje energię elektryczną w celach leczniczych i diagnostycznych. Jednym z najnowocześniejszych zabiegów z zakresu elektroterapii, który wykorzystuje prądy wielkiej częstotliwości to terapia Indiba. Jest to zabieg oparty na zastosowaniu przepływu elektrycznego prądu radiofrekwencyjnego o częstotliwości 448 kHz. Prądy o częstotliwości radiowej stały się jednym z podstawowych metod leczenia dolegliwości bólowych i urazów mięśniowo-szkieletowych. Badania kliniczne pokazują, że terapia prądami wielkiej częstotliwości zmniejszają dolegliwości bólowe, przyspieszają przepływ krwi, dotleniają organizm oraz przyspieszają metabolizm komórkowy. W literaturze można spotkać także artykuły, w których przedstawione są znakomite rezultaty takie jak: szybsze zdrowienie tkanek i powrót do aktywności fizycznej.
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness
Authors: Bi Xuan , Adomavicius Gediminas , Li William , Qu Annie 
Published: February 2022

Because of the accessibility of big data collections from consumers, products, and stores, advanced sales forecasting capabilities have drawn great attention from many businesses, especially those in retail, because of the importance of forecasting in decision making. Improvement of forecasting accuracy, even by a small percentage, may have a substantial impact on companies’ production and financial planning, marketing strategies, inventory controls, and supply chain management. Specifically, our research goal is to forecast the sales of each product in each store in the near future. Motivated by tensor factorization methodologies for context-aware recommender systems, we propose a novel approach called the advanced temporal latent factor approach to sales forecasting, or ATLAS for short, which achieves accurate and individualized predictions for sales by building a single tensor factorization model across multiple stores and products. Our contribution is a combination of a tensor framework (to leverage information across stores and products), a new regularization function (to incorporate demand dynamics), and extrapolation of the tensor into future time periods using state-of-the-art statistical (seasonal autoregressive integrated moving-average models) and machine-learning (recurrent neural networks) models. The advantages of ATLAS are demonstrated on eight product category data sets collected by Information Resources, Inc., where we analyze a total of 165 million weekly sales transactions of over 15,560 products from more than 1,500 grocery stores.Summary of Contribution: Sales forecasting has been a task of long-standing importance. Accurate sales forecasting provides critical managerial implications for companies’ decision making and operations. Improvement of forecasting accuracy may have a substantial impact on companies’ production planning, marketing strategies, inventory controls, and supply chain management, among other things. This paper proposes a novel computational (machine-learning-based) approach to sales forecasting and thus is positioned directly at the intersection of computing and business/operations research.
On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors
Authors: Jena Sanjay Dominik , Lodi Andrea , Sole Claudio 
Published: February 2022

The random utility maximization model is by far the most adopted framework to estimate consumer choice behavior. However, behavioral economics has provided strong empirical evidence of irrational choice behaviors, such as halo effects, that are incompatible with this framework. Models belonging to the random utility maximization family may therefore not accurately capture such irrational behavior. Hence, more general choice models, overcoming such limitations, have been proposed. However, the flexibility of such models comes at the price of increased risk of overfitting. As such, estimating such models remains a challenge. In this work, we propose an estimation method for the recently proposed generalized stochastic preference choice model, which subsumes the family of random utility maximization models and is capable of capturing halo effects. In particular, we propose a column-generation method to gradually refine the discrete choice model based on partially ranked preference sequences. Extensive computational experiments indicate that our model, explicitly accounting for irrational preferences, can significantly boost the predictive accuracy on both synthetic and real-world data instances. Summary of Contribution: In this work, we propose an estimation method for the recently proposed generalized stochastic preference choice model, which subsumes the family of random utility maximization models and is capable of capturing halo effects. Specifically, we show how to use partially ranked preferences to efficiently model rational and irrational customer types from transaction data. Our estimation procedure is based on column generation, where relevant customer types are efficiently extracted by expanding a treelike data structure containing the customer behaviors. Furthermore, we propose a new dominance rule among customer types whose effect is to prioritize low orders of interactions among products. An extensive set of experiments assesses the predictive accuracy of the proposed approach by comparing it against rank-based methods with only rational preferences and with more general benchmarks from the literature. Our results show that accounting for irrational preferences can boost predictive accuracy by 12.5% on average when tested on a real-world data set from a large chain of grocery and drug stores.