bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neuropsychiatrische Aspekte von COVID-19 – Eine narrative
Übersicht
Authors: Rittmannsberger Hans , Barth Martin , Malik Peter , Yazdi Kurosch 
Published: August 2021

ZusammenfassungDas Virus SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus Type 2) und
die von ihm ausgelöste Erkrankung COVID-19 (Coronavirus Disease 2019)
können zahlreiche Organsysteme betreffen. In vorliegender Arbeit bieten
wir einen Überblick bezüglich des aktuellen Wissensstands
über die psychiatrischen Aspekte der SARS-CoV-2 Infektion.Die Datenbanken Medline, Embase und LIVIVO wurden nach relevanter Literatur
untersucht, die letzte Abfrage erfolgte am 02.03.2021. Unterschiedliche
Stressfaktoren im Rahmen der Epidemie können zu manifesten psychischen
Erkrankungen führen. Zusätzlich besteht das Risiko psychischer
Veränderungen durch die biologischen Effekte des Virus selbst.Beschrieben werden in unserer Arbeit psychische Symptome von an COVID-19
Erkrankten selbst sowie die psychischen Auswirkungen der Epidemie und der damit
einhergehenden sozioökonomischen und psychosozialen Stressfaktoren auch
auf nicht Erkrankte.Bei an COVID-19 Erkrankten zeigen sich als häufigste psychiatrische
Komplikation das Auftreten von Delirien, bei hospitalisierten Patienten scheint
es zu gehäuftem Auftreten von Symptomen von Angst, Depression und
posttraumatischen Belastungsstörungen zu kommen. Es liegen auch
zahlreiche Kasuistiken über psychotische Störungen vor.
Allgemein steigert eine vorliegende psychiatrische Erkrankung (besonders eine
psychotische oder dementielle Störung) auch das Risiko einer Infektion
und eines schweren Verlaufes. Nach Ablauf einer COVID-19-Infektion ist ebenfalls
eine höhere Inzidenz von psychischen Erkrankungen zu finden, hier ist
das „Chronic Post-SARS Syndrome“ mit seinen Ausprägungen
wie Fatigue, Angst, Depression und PTSD zu nennen. Außerdem scheint der
Verlauf einer dementiellen Erkrankung durch eine Infektion mit SARS-CoV-2
negativ beeinflusst zu werden.Ferner wird auf die Auswirkungen eingegangen, die das Bedrohungsszenario der
Epidemie und die etablierten gesellschaftlichen Schutzmaßnahmen auf die
psychische Gesundheit von Menschen mit und ohne psychische Vorerkrankungen
haben. Es zeigen sich hier in der derzeit vorliegenden Literatur hohe
Symptomwerte betreffend Angst- und depressiven Störungen sowie
posttraumatischen Belastungsstörungen, Stress, Suizidalität,
Schlafstörungen, etc. Risikofaktoren scheinen unter anderem weibliches
Geschlecht, jüngeres Alter und geringere Ressourcen sowie psychische
oder körperliche Vorerkrankungen darzustellen. Extrinsische Faktoren wie
z-B. hohes Infektionsgeschehen, große Anzahl von Todesfällen,
lange Ausgangssperren/Lockdowns, geringes Vertrauen in die Regierung und
ineffektive Maßnahmen gegen wirtschaftliche und soziale Folgen steigern
die Belastung.
lncRNA MALAT-1 Predicts Prognosis of Patients with Systemic Lupus Erythematosus
Authors: Zhou Aihong , Mao Kunyun , Liu Guoqiang , Li Jun , Lin Xia 
Published: August 2021

Abstract
Objective To evaluate the association of MALAT-1 and the prognosis of patients with systemic lupus erythematosus (SLE).
Materials and Methods A total of 87 SLE patients and 50 healthy controls were recruited. The expression levels of MALAT-1 were measured by quantitative PCR at baseline. Multivariate Cox regression analysis was performed to assess the association of MALAT-1 levels with survival after adjusting for potential confounding factors.
Results The MALAT-1 levels in patients with SLE were significantly higher compared with healthy controls (p<0.01). The 10-year survival of patients with a higher MALAT-1 level was significantly lower than that of patients with a lower MALAT-1 level (HR=5.54; 95% CI: 1.49–20.55; p=0.01). Multivariate Cox regression indicated that the MALAT-1 level was significantly associated with a risk of mortality (HR=10.02, 95% CI: 1.14–88.14, p=0.04).
Conclusion The expression levels of MALAT-1 may be a promising biomarker for evaluating the prognosis of SLE patients.
High Incidence of Hyponatremia in Patients Operated for Nonsellar/Suprasellar Supratentorial Tumors—A Prospective Observational Study
Authors: Venkatapura Ramesh J. , Jena Sritam S. , Christopher Rita , Bhat Dhananjaya I. 
Published: August 2021

Abstract
Background The incidence of hyponatremia is high in supratentorial tumors. However, most studies of supratentorial tumors have included patients with sellar/suprasellar tumors. It is common knowledge that sellar tumors have higher incidence and severity of hyponatremia. Incidence of hyponatremia is not known if we exclude sellar/suprasellar tumors. Therefore, this study was designed to evaluate the incidence of hyponatremia in supratentorial tumors after excluding sellar/suprasellar tumors.
Methods After institutional ethics committee approval and written informed consent, adult patients with supratentorial tumors (nonsellar/suprasellar) were recruited, and data were collected prospectively. In all patients, serum electrolytes were measured every 2 to 3 days. Hyponatremia was defined as serum sodium of <135 mEq/L. All the patients were followed up till death or discharge from the hospital.
Results A total of 61 patients’ data were analyzed. There were 31 male and 30 female patients with an average age of 44 years. There were 23 meningiomas, 36 gliomas, and 2 other tumors. Forty patients (66%) developed hyponatremia during hospital stay. There were 29 mild cases (serum sodium 131–134 mEq/L), 7 were moderate (serum sodium 126–130 mEq/L), and 4 were severe (serum sodium <126 mEq/L). Three hyponatremic meningioma patients died, of which two had mild hyponatremia and one had severe hyponatremia. Duration of hospital stay was longer in hyponatremic patients.
Conclusion The incidence of hyponatremia is high in supratentorial tumor patients after excluding sellar/suprasellar lesions. In the majority of patients, the disturbance is mild. Hyponatremic patients has a longer hospital stay and higher mortality.
Huge Sellar Plasmacytoma as Differential Diagnosis of Invasive Pituitary Adenoma: A Case Report
Authors: Filgueira-Junior J. A. , Dornelas M. H. , Barboza-Filho R. , Basílio D. B. , Valadares R. J. B. , Barbosa B. A. 
Published: August 2021

AbstractSellar plasmacytomas are rare tumors arising from plasma cells. They are often misdiagnosed as adenomas. We report the case of a 63-year-old woman with headache, cranial nerve III palsy and decreased visual acuity. Imaging revealed an extensive lesion centered on the clivus, extending to the cavernous sinus bilaterally and into the sphenoid sinus. The hormonal tests were compatible with panhypopituitarism and mild hyperprolactinemia. The first hypothesis was invasive pituitary adenoma. Partial resection was achieved, and the immunohistochemical evaluation was compatible with plasmacytoma. After a few weeks, she developed lumbar and hip pain, and the imaging confirming osteolytic lesions. The final diagnosis was multiple myeloma.
Effect of Heat and Moisture Exchange Filter on the Dead Space Ventilation in a Pediatric Patient
Authors: Bhagwat Mrunmayee , Surve Rohini M. , Patwardhan Prathamesh 
Published: August 2021

AbstractThe use of heat and moisture exchange filter (HMEF) has become a routine standard of care in general anesthesia (GA), more so, during the current COVID-19 pandemic times. However its routine use, especially in pediatric patients, has several issues. We report a case of increased dead space ventilation in a pediatric patient due to the presence of HMEF. Hypercapnia and its cause was instantly diagnosed with two capnography sampling lines placed at two ends of the HMEF.
A Retrospective Study of Postoperative Development of Implant-Induced Osteoporosis in Radial–Ulnar Fractures in Toy Breed Dogs Treated with Plate Fixation
Authors: Muroi Norihiro , Shimada Masakazu , Murakami Sawako , Akagi Hiroyuki , Kanno Nobuo , Suzuki Shuji , Harada Yasuji , Orima Hiromitsu , Hara Yasushi 
Published: August 2021

Abstract
Objective This study aimed to evaluate implant-induced osteoporosis (IIO) development in toy breed dogs treated using internal fixation with digital radiographs as the index of pixel values.
Study Design There were 226 cases (236 limbs) of toy breed dogs with radial–ulnar fractures. Pixel values were measured on radiographs immediately, 2 weeks and 1 to 12 months after surgery. The ratio of pixel values (PVR) represented the bone mineral areal density based on the humeral condyle in the same image. The dogs were grouped based on the fixation methods, age and status of destabilization.
Results There was a significant decrease in the PVR at 1 to 12 months postoperatively for all cases. There were not any significant differences in PVR of antebrachial fractures between those repaired with plates using locking head screws, cortex screws or a combination of locking and cortex screws. Implant-induced osteoporosis persisted at 1 to 12 months postoperatively in dogs aged ≧6 months, while the PVR increased after 3 months in dogs aged <6 months. Based on the destabilization method, there was a significant increase in the PVR at 3 months in the plate removal group.
Conclusion This study suggests that IIO occurs in small dogs treated with plates and screws. Moreover, patients aged < 6 months showed an early postoperative recovery of bone mineral areal density. Further, screw and plate removal could contribute to the recovery of bone mineral areal density.
Ancestral Dravidian languages in Indus Civilization: ultraconserved Dravidian tooth-word reveals deep linguistic ancestry and supports genetics
Authors: Ansumali Mukhopadhyay Bahata 
Published: August 2021

AbstractEver since the discovery of Indus valley civilization, scholars have debated the linguistic identities of its people. This study analyzes numerous archaeological, linguistic, archaeogenetic and historical evidences to claim that the words used for elephant (like, ‘pīri’, ‘pīru’) in Bronze Age Mesopotamia, the elephant-word used in the Hurrian part of an Amarna letter of ca. 1400 BC, and the ivory-word (‘pîruš’) recorded in certain sixth century BC Old Persian documents, were all originally borrowed from ‘pīlu’, a Proto-Dravidian elephant-word, which was prevalent in the Indus valley civilization, and was etymologically related to the Proto-Dravidian tooth-word ‘*pal’ and its alternate forms (‘*pīl’/‘*piḷ’/‘*pel’). This paper argues that there is sufficient morphophonemic evidence of an ancient Dravidian ‘*piḷ’/‘*pīl’-based root, which meant ‘splitting/crushing’, and was semantically related to the meanings ‘tooth/tusk’. This paper further observes that ‘pīlu’ is among the most ancient and common phytonyms of the toothbrush treeSalvadora persica, which is a characteristic flora of Indus valley, and whose roots and twigs have been widely used as toothbrush in IVC regions since antiquity. This study claims that this phytonym ‘pīlu’ had also originated from the same Proto-Dravidian tooth-word, and argues that since IVC people had named their toothbrush trees and tuskers (elephants) using a Proto-Dravidian tooth-word, and since these names were widely used across IVC regions, a significant population of Indus valley civilization must have used that Proto-Dravidian tooth-word in their daily communication. Since ‘tooth’ belongs to the core non-borrowable ultraconserved vocabulary of a speech community, its corollary is that a significant population of IVC spoke certain ancestral Dravidian languages. Important insights from recent archaeogenetic studies regarding possible migration of Proto-Dravidian speakers from Indus valley to South India also corroborate the findings of this paper.
Simulation of the effect of polarization Coulomb field scattering on device linearity in AlGaN/GaN heterostructure field effect transistors using the Monte Carlo method
Authors: Yang Yongxiong , Lin Zhaojun , Wang Mingyan , Zhou Heng , Liu Yang , Jiang Guangyuan 
Published: August 2021

This paper demonstrates the improvement of device linearity in AlGaN/GaN heterostructure field effect transistors (HFETs) using polarization Coulomb field (PCF) scattering and investigates the relationship between device linearity and PCF scattering under 10 and 20 V drain bias. The mobility of the gate-to-source region in AlGaN/GaN HFETs is calculated using the Monte Carlo method. We find that PCF scattering decreases with an increase in gate bias (from −3 to −0.5 V) under high field conditions, leading to lower gate-to-source resistance. Under 20 V drain bias, linearity is worse than under 10 V drain bias. The transconductance drop is significant in AlGaN/GaN HFETs, which damages linearity. By adopting an appropriate drain bias, PCF scattering can alleviate transconductance drop and improve the linearity of AlGaN/GaN HFETs.
Nuclear reaction network unveils novel reaction patterns based on stellar energies
Authors: Jiang Chunheng , Szymanski Boleslaw K , Lian Jie , Havlin Shlomo , Gao Jianxi 
Published: August 2021

Abstract
Despite the advances in discovering new nuclei, modeling microscopic nuclear structure, nuclear reactors, and stellar nucleosynthesis, we still lack a systemic tool, such as a network approach, to understand the structure and dynamics of over 70 thousands reactions compiled in JINA REACLIB. To this end, we develop an analysis framework, under which it is simple to know which reactions generally are possible and which are not, by counting neutrons and protons incoming to and outgoing from any target nucleus. Specifically, we assemble here a nuclear reaction network in which a node represents a nuclide, and a link represents a direct reaction between nuclides. Interestingly, the degree distribution of nuclear network exhibits a bimodal distribution that significantly deviates from the common power-law distribution of scale-free networks and Poisson distribution of random networks. Based on the dynamics from the cross section parameterizations in REACLIB, we surprisingly find that the distribution is universal for reactions with a rate below the threshold,

λ
<

e

−

T

γ

, where T is the temperature and γ ≈ 1.05. Moreover, we discover three rules that govern the structure pattern of nuclear reaction network: (i) reaction-type is determined by linking choices, (ii) network distances between the reacting nuclides on 2D grid of Z vs N of nuclides are short, and (iii) each node in- and out-degrees are close to each other. By incorporating these three rules, our model universally unveils the underlying nuclear reaction patterns hidden in a large and dense nuclear reaction network regardless of nuclide chart expansions. It enables us to predict missing links that represent possible new nuclear reactions not yet discovered.
An Ultra-short-term Wind Power Forecasting Method with Special Error Distribution
Authors: Wei Shuheng , Ke Deping , Yang Jian , Jiang Shangguang , Liu Yu , Wu Yanqing 
Published: August 2021

Abstract
The randomness and uncontrollability of wind energy have brought many difficulties to the development of wind power generation. How to obtain accurate forecasting results of wind power has become an increasingly important topic these years. This paper proposes an ultra-short-term wind power forecasting method using Elman neural network with an enhanced gradient descent training algorithm, which is able to compute the probabilistic distribution function (PDF) of the forecasting error by utilizing two kinds of series expansion for the purpose of regarding it as the loss function of the forecasting model. To validate the accuracy and efficiency of the purposed method, the conventional least mean square error (LMSE) based model is served as a benchmark in the comparison of simulation results. At last, historical wind power statistics of one month collected from a wind farm in the northern Hebei Province of China are used to perform single-point and probabilistic predictions in order to verify the effectiveness of the purposed method.
Simulation of semiconductor detectors in 3D with SolidStateDetectors.jl
Authors: Abt I. , Fischer F. , Hagemann F. , Hauertmann L. , Schulz O. , Schuster M. , Zsigmond A.J. 
Published: August 2021

Abstract
The open-source software package
SolidStateDetectors.jl to calculate the fields and simulate
the drifts of charge carriers in solid state detectors, especially
in large volume high-purity germanium detectors, together with the
corresponding pulses, is introduced. The package can perform all
calculations in full 3D while it can also make use of detector
symmetries. The effect of the surroundings of a detector can also be
studied. The package is programmed in the user friendly and
performance oriented language julia, such that 3D field
calculations and drift simulations can be executed efficiently and
in parallel. The package was developed for high-purity germanium
detectors, but it can be adjusted by the user to other types of
semiconductors. The verification of the package is shown for an
n-type segmented point-contact germanium detector. Additional
features of SolidStateDetectors.jl, which are under
development are listed.
Fabrication of graphitic carbon nitride-based nanocomposites photocatalyst for degradation of organic pollutants: A Review
Authors: Sharma Deepti , Sinha A.K. , Dhayal Veena 
Published: August 2021

Abstract
Semiconductor-based photocatalyst has been used for the degradation of the organic pollutant from wastewater. Metal oxides (ZnO, TiO2) and graphitic carbon nitride (g-C3N4) has been widely used as a catalyst among various semiconductors. However, pure g-C3N4 suffers from significant disadvantages, including poor disparity, low surface area, and high electron-hole pairs recombination, and metal oxides (ZnO and TiO2) are only UV light-responsive, which reduces photocatalytic activity. We have explained various methods for fabrication of ZnO-g-C3N4 and TiO2-g-C3N4 nanocomposite to develop visible light responsive photocatalyst with high surface area, low bandgap, reduce electron-hole pairs recombination, and porous structure. The photocatalytic activity of graphitic carbon-based (ZnO-g-C3N4 and TiO2-g-C3N4) nanocomposites towards organic pollutants are systematically mentioned in this review. The synergetic effect of g-C3N4 and metal oxide in nanocomposite also mention by the photocatalytic mechanism.
Bioremediation of Industrial Wastewater: A Review
Authors: Ojha Nishita , Karn Rama , Abbas Sadiqa , Bhugra Sonal 
Published: August 2021

Abstract
Water pollution is on the rise because of increased human population and activities, unsustainable agricultural practices, and rapid industrialization, and it is a major global concern. Therefore, there is a scarcity of clean water, which has been related to diseases like typhoid, diarrhea, cholera, jaundice, and others. Major contaminants include heavy metals, organic, and inorganic pollutants. The use of naturally occurring microorganisms like bacteria, fungi, or plants i.e., Bioremediation to treat polluted wastewater has proven to be effective and efficient. This article briefly discusses the impact of water pollution on the environment, as well as various strategies for removing it.
Assessment of Pavement Surface Quality using TOPSIS Method
Authors: Saluja Sonal , Gaur Arun , Abbas Sadiqa 
Published: August 2021

Abstract
The pavement surface quality (PSQ) is the most significant element of highways. To assure PSQ, it is necessary to check its performance periodically. The data from field test carried on Link road, near Samrala Chowk, Ludhiana by using Falling Weight Deflectometer (FWD) was collected for analysis. It is a non-destructive testing device that is used for the determination of the deflection value of damaged surfaces that may be in the form of potholes, isolated cracked areas, ruts, raveling, etc. This system only provides the deflection values. Therefore, it is necessary to use a decision-making technique to assess the quality of pavement surfaces at a particular location. In this paper, an alternative method based on the technique for order preference by similarity to ideal solution (TOPSIS) is considered for ranking of PSQ. The results presented that chainage 500 m has good PSQ as it has been ranked one. Similarly, the chainage 5000 m ranked two because the PSQ of this chainage was less good as compared to the chainage 500 m and followed by chainage 4000 m, 1500 m, 0 m, 6000 m, 2000 m, and 1000 m respectively. The study also helps to decide maintenance requirements according to the surface condition of the pavement.
A study of thermal distribution and fluid flow by natural convection inside a building enclosure with a centrally placed hot channel section using CFD
Authors: Jeseema Nisrin J , Velkennedy R , Kalidasan K 
Published: August 2021

Abstract
The thermal distribution and fluid flow by natural convection inside a closed cool enclosure is studied. A channel section is placed at the center of the compartment and its temperature is hot. Buoyancy flow is induced inside the enclosure due to the thermal variation. Air is considered as the fluid inside the enclosure and its Prandtl number is 0.71. The fluid is expected to obey Boussinesq approximation. To evaluate the flow, the streamline, isotherms, horizontal and vertical centerline velocity and Nusselt numbers were calculated. The flow is modified by changing the Rayleigh number from 103 to 106. The results show the influence of Rayleigh number on the flow pattern, velocity of fluid flow, and heat transfer rate. Computational fluid dynamics is used as the tool for this study.
Experimental Investigation on Bagasse ash Based Geopolymer Concrete Subjected to Elevated Tempreture
Authors: Srinivas Dilip , Suresh N , Lakshmi N H 
Published: August 2021

Abstract
Geopolymer in recent years is being deemed as a promising alternative to cement concrete, which has remained as backbone of the construction industry. Despite GPC having potential capability of reducing carbon footprint, still many of its characteristics and mechanism to be investigated. The present study represents the utilization of bagasse ash in the production of geopolymer concrete. In order to reduce the ecological imbalance by the emission of CO2 from cement production an attempt has been made to investigate the feasibility of utilizing sugar cane ash as one of the candidate in polymer concrete by maintaining different molar concentration of sodium based alkali activated solutions. Geopolymer concrete has been casted and assessed for the fresh and harden properties. In the present work sugar cane bagasse ash replacement was done partially from 10% to 100% to determine workability and strength parameters. The objective of the work is to find the maximum extent of bagasse ash by reducing GGBS & also to check the suitable silica content. GGBS has been used as a binder materials & to reduce the limitations of GPC with respect to workability, Aura mix super plasticizer has been used. While comparing the results with regular concrete after 28days sun curing shows the positive effect with maximum 30% bagasse ash further increment results in decrease in harden properties such as ultimate compressive strength, flexural strength and split tensile strength. specimens were subjected to the elevated temperature to study the properties of geopolymer concrete such as residual strength, mass loss.
Urban Quality of Life: Domains, Dimensions and Indicators for Indian Cities
Authors: Yadav Jyoti , Gupta Niruti 
Published: August 2021

Abstract
The word “quality of life” has been used vigorously from everyday language to research studies. Often, it becomes challenging to differentiate between notions related to QoL, well-being, satisfaction, and happiness. UQoL is a notion that has been conversed in recent studies as a response to various urban issues and challenges. The paper aims to define the concept of QoL in urban context through a descriptive analytical approach and reviews various QoL models and approaches of QoL-studies and compares the number of indices measuring QoL at the national and city level to identify various dimensions and indicators. Finally, a conceptual model concluding the UQoL indicators have been deduced in the form of a matrix. These dimensions represent a guide for policymakers, Planners, Architects, and Designers.