bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Analysis of the Cultural Landscape in an Eco-cultural Protection Area: A Case Study in Yunnan Diqing
Authors: Jianming ZHOU , Junyi SU , Lingxiao MAO , Yining SUN 
Published: April 2022

Abstract
Background:As a relatively complete system, the eco-cultural protection areas (ECPAs) contain material and intangible cultural heritage. At present, most of the domestic research on the construction and development of the eco-cultural protection areas is still in its initial stages, and the identification and analysis techniques for the cultural landscapes still need to be practiced and explored. Aim:The purpose of this study is to establish a reasonable analysis method and system for identifying the cultural landscape in the cultural-ecological reserves and to provide a basis for the scientific protection of the cultural ecological reserves. Method:The method that was implemented in this study is based on the landscape’s ecological security pattern of the related theory according to the preset area of the various ecological factors that were identified in an ecologically sensitive area and cultural-ecological reserve. This allows for finding the important ecological plaques and important ecological corridors, thus obtaining the spatial characteristics of the cultural ecological reserve and the stability of the cultural ecological reserve. This study was performed on the Yunnan Diqing’s national and cultural-ecological reserve. Result:This paper summarizes the spatial characteristics of diqing cultural ecology, and establishes the regional national cultural ecological protection zone.Conclusion:The cultural landscape identification and analysis method that was used in this study successfully determined the spatial characteristics and the stability of the cultural ecological reserves. These results provide a significant advantage for resource protection and sustainable development of the cultural ecological reserves.
Quality of life and functional outcome after lumbar disc herniation surgery
Authors: Mahmoodkhani Mehdi , Moradi Zeinab , Aminmansour Bahram , Tehrani Donya Sheibani , Teimouri Mehdi 
Published: April 2022

Abstract

Introduction: Low back pain is one of the most common diseases that the general population of adults faces various physical, mental, economic and social problems. Patients underwent lumbar disc surgery. Due to the fact that patients experience various degrees of disability during this period, the present study was conducted to determine the Quality of life and functional outcome in patients with lumbar disc herniation undergoing Lumbar disc surgery with foraminotomy approach. Method: This study was a descriptive study before and after the intervention. The study population included patients undergoing lumbar disc surgery who referred to Kashani Educational-Medical Center in Isfahan in 2021 who were included in the study by census. 120 people were included in the study by census method. They were followed up for one year. Three months after surgery, 116 patients, six months later, 112 patients, and one year later, 104 patients remained in the study. Patients were assessed preoperatively,3, 6 and 12 months postoperatively by standard questionnaires:SF12, Austrian Functional Disability Questionnaire, European Quality of Life Questionnaire and DASS. the date were analyzed in SPSS22. Result: all physical and mental dimensions of quality of life, except for three mental dimensions (SF, RE, MH) before surgery and 12 months after surgery were significantly different (P < 0.05). The preoperative and 12 months postoperative functional incapacity index showed a significant difference. The EQ-5D index improved after 12 months and was significantly different from before surgery(P < 0.05). depression and anxiety after 12 months did not show a significant difference compared to before surgery (P < 0.05). the results revealed that there was a significant relationship between ODI and body mass index (P = 0.002), and age (P = 0.01), as well as between depression and gender (P = 0.003). The individuals at older ages and with higher body mass index (overweight and obese) showed higher degrees of disability. Women showed more incidence of depression compared to men. Conclusion: According to the present study results, it can be stated that in today's world, the physical aspects and physical ability of patients cannot solely reflect improvement of disease status in patients.
Roost characteristics and seasonal variation in population of Scotophilus kuhlii (Leach, 1821) in Uttar Pradesh, India
Authors: Bhartiy Shani Kumar , Elangovan Vadamalai 
Published: April 2022

Abstract
The Scotophilus kuhlii inhabits in the various roosts structure including crevices, roofs of abandoned buildings, houses, tree holes. The aim of this study was the seasonal variation in population and how the factors influence of roost selection of S. kuhlii at different seasons as well as different habitats in Uttar Pradesh, India, was done by survey method from 2015 to 2018. Results revealed that the S. kuhlii’s population fluctuates over the season and habitats, which was ranging from one to nine individuals per roost, such as the average roost occupancy was higher in monuments (4.36 ± 2.19 individual) compared abandoned buildings (4.08 ± 2.03) and tree holes (2.64 ± 2.11). Length of roost cavities and roost surface area was crucial factors for roost selection of S. kuhlii, i.e. roost population size is directly proportional to roost surface area and length cavities. Thus, the degree of protection supported the claim that the high protection habitat could yield a maximum roost population size accordingly; the monuments showed a high degree of protection and thus a maximum colony size was observed followed by abandoned buildings and tree holes. In winter S. kuhlii was shifting toward a deeper hole/cavity into roost and in summer toward periphery. We conclude that roost characteristics and roost occupancy influence the roost selection of S. kuhlii.
Evaluation of the Role of Spatial Composition and Configuration of Urban Green Spaces in Air Pollution Reduction: A Landscape Ecology Approach
Authors: Hatami Maryam , Sotoudeh Ahad , Mokhtari Mohammad Hossein , Kiani Bahman 
Published: April 2022

Abstract
Installment of urban green spaces brings about numerous advantages including reduction in low air pollution and elimination of adverse effects, which ensure the sustainability of urban ecosystems and the high quality of urban life. Urban natural unit function depends on spatial composition and configuration of green space patches. The main objective of this study is to investigate the impacts of spatial composition and configuration of green patches on the air pollution in Mashhad, Iran. To this end, Landsat 8 images were used to produce land cover maps. Considering seven landscape metrics (including PLAND, PARA, GYRATE, ENN, PD, AREA, and CONTAG), this study determined the composition and configuration of green space patches using FRAGSTATS software. The data obtained from the air pollution monitoring stations were employed to find the correlation between the composition and configuration of green space patches and air pollutants (namely, SO_2, CO، NO, NO_2, NO_X, and PM_2.5). Results showed a significant correlation between the composition and configuration of urban green space patches and SO_2, CO, NO, NO_2, NO_X, and PM_2.5 values.
Mechanical and acoustic properties of ceramsite sound absorbing boards with gradient structure
Authors: Tang Zhuo , Yang Kai , Long Guangcheng , Pan Xiaoyan , Su Weiqing , Xie Youjun 
Published: April 2022

Abstract
In this work, ceramsite was utilized to fabricate the sound-absorbing boards, in which two types of structure were considered, specifically, single-layer board with homogenous structure and double-layer board with gradient structure. The mechanical and acoustic properties of these prepared ceramsite sound absorbing boards were studied, including the bulk density, compressive strength, flexural strength, softening coefficient, sound absorption coefficient and sound reduction index. The results show that the double-layer board with the appropriate mix proportion exhibited the almost identical bulk density and mechanical strength to the single-layer board. All ceramsite sound absorbing boards had compressive and flexural strengths of more than 3MPa and 1MPa, respectively, and also demonstrated good water resistance. In terms of sound absorption and sound insulation properties, the overall performance of the double-layer board with reasonable gradient structure was better than that of the single-layer board. In addition, the physical structure models of ceramsite sound absorbing boards were established to illustrate the variation of mechanical properties and explore the mechanism of sound absorption and insulation in the material.
Pedunculated Lipofibroma in a pediatric patient.
Authors: Ahamad Mohammad Nafees , Sultana Guljabin 
Published: April 2022

Abstract
Pedunculated lipofibroma is a rare form of nevus lipomatosus cutaneous superficialis (NLCS). The lesions are large, slow-growing, pedunculated tumors, characterized histologically by ectopic adipose tissue in the dermis. A 9-year-old girl presented with a solitary painless cerebriform pedunculated mass over her right arm. Histopathological examination of the excised mass revealed lipofibroma. The solitary type of NLCS, or pedunculated lipofibroma, occurs usually over 20 years of age and is found on the axilla, knee, ear, or skin of the scalp. The striking finding, that the hamartoma had grown constantly in early life, from a small nodule to a large mass, is rare in pediatric age group so it’s been presented.
A study of Artificial Neural Network and its implementation from scratch
Authors: Kushawaha Nilay , Roy Ankhi 
Published: April 2022

Abstract
One of the major problems in the field of artificial intelligence (AI) is the use of machine learning model as a black box, even though it might be helpful in a few cases but understanding the internal structure and the operating mechanism will assist the user to tweak the variables in a more efficient and productive manner. In this paper we have introduced the working of an artificial neural network (ANN) by taking the example of a three layered neural network. The entire mathematics behind the working of neural network along with the different evaluation metrics required to assess the performance of the model are discussed in this paper. We have also created a custom neural network from scratch and compared it with the keras based model on three different datasets - susy dataset, cardiovascular dataset, churn dataset. The results obtained demonstrates that the overall performance of both the models are almost identical which gives an idea that it is possible to train a neural network from scratch without the use of any framework.
Effects of Ginger (Zingiber officinale) Extract Ointment on Pain and Episiotomy Wound Healing in Nulliparous Women: A Randomized Controlled Clinical Trial
Authors:   1-	Fatemeh Cheshfar, Bani Soheila , Mirghafourvand Mojgan. , Hasanpour Shirin , Javadzadeh Yousef 
Published: April 2022

Abstract

Background: An episiotomy is a common midwifery surgery that may cause severe pain and discomfort for mothers. Iran is a country with an abundant source of medicinal plants. This study hence aimed to investigate the effects of ginger (Zingiber officinale) extract ointment on the inflammation, pain, and recovery of an episiotomy incision in order to improve the quality of midwifery care in nulliparous women.Method: This triple-blind randomized clinical trial was conducted in a public hospital of Marand, Iran, on 70 nulliparous women with a mediolateral episiotomy incision. Those who met the inclusion criteria were randomly assigned to two groups of ginger extract ointment and placebo ointment at a 1:1 allocation ratio. The REEDA (redness, edema, ecchymosis, discharge, and approximation) scale and a Visual Analogue Scale (VAS) were employed to measure the episiotomy healing rate and the mean severity of pain, respectively, before discharge and 5±1 and 10±1 days after the intervention. The collected data were statistically analyzed by the chi-square test, the independent t-test, and the Mann-Whitney U test (in the case of non-normal distribution of data) in SPSS-18. The confidence level and the significance level in all statistical tests were determined to be 90% and p≤0.05, respectively.Results: There was no significant difference between participants treated with ginger extract ointment and those treated with placebo ointment in the wound healing score before the intervention (p=0.894), 5±1 days after the intervention (p=0.695), and 10±1 days after the intervention (p=0.986). There was also no significant difference between the two groups in the mean severity of pain before the intervention (p=0.924), 5±1 days after the intervention (p=0.576), and 10±1 days after the intervention (p=0.400). Conclusion: The study findings revealed that the 200 mg dose of ginger ointment could not significantly improve the pain and increase the healing rate of episiotomy wounds 5 and 10 days after the intervention. It seems that more and longer studies with different doses of this ointment are needed before coming to a definitive conclusion about its effects.Trial Registration: IRCT Registration Number: IRCT20110922007618N9, registered on August 14, 2020 (IR.TBZMED.REC.1399.333)
Multifractal Spin-Glass Chaos Projection and Interrelation of
Multicultural Music and Brain Signals
Authors: Berker Ahmet 
Published: April 2022

Abstract
A complexity classification scheme is developed from the fractal spectra of spin-glass chaos and demonstrated with multigeographic multicultural music and brain electroencephalogram signals. Systematic patterns are found to emerge. Chaos under scale change is the essence of spin-glass
ordering and can be obtained, continuously tailor-made, from the exact renormalization-group solution of Ising models on frustrated hierarchical lattices. The music pieces are from Turkish music, namely Arabesque, Rap, Pop, Classical, and Western music, namely Blues, Jazz, Pop, Classical. A
surprising group defection occurs.
Application of an adaptable multimodal machine learning approach to predict COVID-19 outcomes for hospital resource management
Authors: Gómez-Zorrilla Silvia , López-Montesinos Inmaculada , Pérez Eva , Pomés Pau , Sorli Maria Luisa , Güerri-Fernández Robert , Grau Santiago , Márquez Albert , Martínez-Roldán Jordi , Principe Alessandro , Horcajada Juan P. 
Published: April 2022

Abstract
Beyond the health consequences, coronavirus disease 2019 (COVID-19) has shown the inadequacies and limitations of healthcare systems all over the world. Predictions of good and bad outcomes could improve lockdown and curfew policies and reduce the COVID-19 health impact. We describe a multimodal machine learning (ML) approach for predicting early hospital discharge and other key clinical outcomes, such as respiratory worsening, intensive care unit admission or the need for rescue therapy. Using this model, our hospital occupancy could have decreased by about 50% during the first wave of the pandemic. Our model used both raw laboratory results (LR) and electronic health records (EHR), which allow better anticipation of worsening through selective reporting of LRs. Our approach could be a useful, customizable, and adaptable hospital resource management tool, especially to assist in interventions targeted at reducing COVID-19 infection rates.
Patient-reported Outcome Measures in Perianal Fistulizing Crohn’s
Disease
Authors: Queiroz Natália Sousa Freitas , Garcia Karoline Soares , Miranda Eron Fabio , Kotze Paulo Gustavo 
Published: April 2022

Abstract:
Perianal fistulizing Crohn’s disease (PFCD) is a disabling complication of Crohn’s dis-ease (CD) that can significantly impact the patients’ quality of life (QoL) and often requires multi-disciplinary care. Clinical trials assessing the efficacy of medical and surgical interventions for fis-tulas usually evaluate outcomes such as the closure of fistula tracts or radiologic healing. However, these traditional outcome assessments fail to capture the impact of the disease from patients’ per-spectives. In this context, regulatory authorities have increasingly encouraged the inclusion of vali-dated patient-reported outcomes (PRO) that assess disease activity and reveal how a patient func-tions and feels. This recent trend toward patient-centered care aims to ensure that improvements in efficacy outcomes are accompanied by meaningful benefits to patients. The aim of this review is to discuss currently available PRO measures (PROMS) for the assessment of PFCD to provide physi-cians with appropriate tools aiming to optimize patient care and disseminate the use of these in-struments in clinical practice.
Monitoring and Evaluation of Antibiotic Resistance Pattern of Escherichia coli Isolated from Drinking Water Sources in Ardabil Province of Iran
Authors: Ghabalo Ali Panjalizadeh , Safarkar Roya 
Published: April 2022

Background and Objective:
Antibiotic resistance is rapidly spreading among bacteria, such as Escherichia coli, which have been discharged into water sources by humans and animals, in part due to genes carried by integrons. The goal of this study was to track and assess the pattern of antibiotic resistance among Escherichia coli strains isolated from drinking water sources in Iran’s Ardabil province.

Methods:
Escherichia coli strains were isolated and identified using standard biochemical and microbiological techniques from Ardabil province’s water supply sources in 2019 and 2020. The class 1 integron gene was detected using the polymerase chain reaction (PCR). The disk diffusion method was used to determine antibiotic resistance and sensitivity.

Results:
The Int I gene was found in 47 out of 200 isolates (23.5%). The antibiotic streptomycin had the highest resistance (100%), whereas gentamycin, ciprofloxacin, tobramycin, tetracycline, cefipime, imipenem, meropenem, chloramphenicol, and trimethoprim-sulfamethoxamide had the lowest resistance. Gentamycin, ciprofloxacin, tobramycin, tetracycline, cefipime, imipenem, meropenem, and trimethoprim-sulfamethoxazole, on the other hand, had the highest sensitivity of 100%, while streptomycin had the lowest (0%). Also, the highest level of pollution of Escherichia coli in drinking water supply sources in the province is in Parsabad city (42.86%), and the lowest level of pollution is in Kosar city (6.67%).

Conclusion:
According to the findings of this study, the high prevalence of Escherichia coli strains resistant to the antibiotic streptomycin circulating in water sources should be considered a major problem in terms of antibiotic resistance spreading among bacteria in water.
A Detailed Review of Various Herbal Treatment Options for Potentially Curing or Ameliorating Pain in Diabetic Neuropathy
Authors: Wal Pranay , Singh Priya , Sinha Aparna 
Published: April 2022

Abstract:Diabetes mellitus (DM) is a group of metabolic disorders associated with hyperglycemia due to deficient insulin secretion, insulin action, or both. During 2008 out of 36 million deaths due to non-communicable diseases, 1.3 million deaths alone were causative of DM, suggesting it to be a significant public health problem, reaching epidemic proportions globally. Diabetic Neuropathy is na common complication of DM. Pathophysiology of DN involves the interplay of metabolic and vascular factors, with the principal factor being hyperglycemia. Since DN is a prevalent, disabling condition associated with nerve injury, efficient treatments include glycaemic control and pain management. The ancient scriptures like Charak Samhita and contemporary pharmacology have corroborated the vast medicinal potential of herbal plants for achieving a more holistic treatment for several ailments. One of the primary objectives of the current review was to provide collective data on the available pharmacological evidence of selective herbal plants for future clinical translation. Besides, the herbal extracts used for the studies need to be standardized as per the standard protocols essential for understanding the intricate effect of specific phytoconstituent on the biomolecular level and for the clinical dose fixation for promoting the reproducibility of results
Venomous Peptides as Cardiac Ion Channel’s Modulators
Authors: Yerramsetty Sree Vandana , Chopra Hitesh , Pangi Viajaya Nirmala , Pallaval Veera Bramhachari , Jaganathan Anitha , Mohanta Yugal Kishore , Kamal Mohammad Amjad , Junapudi Sunil 
Published: April 2022

Abstract:
Venoms from the deadliest animals, including spiders, scorpians, bees, and centipedes, are
composed of a complex mixture of various peptides developed to catch prey and defend other animals.
Venoms are composed of several bioactive molecules such as proteins and peptides that modify physiological
conditions in other organisms. These bioactive peptides penetrate tissues and blood vessels to
encounter numerous receptors and modulate ion channel their activities. Venoms are used to treat various
medical issues, including cardiovascular diseases. Venom peptides regulate several ion channel
behaviors, such as voltage-gated sodium (Nav), calcium (Cav) and potassium (Kv) channels, and are set
as a therapeutic approach. In this perspective, we emphasize the effect of isolated lethal venomous peptides
on cardiac ionic channels and their mechanisms of action for the cure. We also summarize the
highlights and molecular details of their toxin-receptor interactions and prospects to develop peptide
therapeutics for respective cardiac electrophysiological diseases.