bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical investigations on propane-air filtration premixed combustion process in randomly packed beds
Authors: Jiang Linsong , Zhang Yang , Suo Shaoyi , Shen Zhao , Sun Ying , Yin Zhicheng
Published: October 2021

In this paper, a three-dimensional (3D) randomly packed bed model is established to research the filtration combustion process. 3D numerical simulation of premixed combustion in the randomly packed bed is carried out, and the temperature distributions and flame propagation characteristics are predicted and discussed. Simulation results show that the change rules of the temperature field and the flame surface in the random model are consistent with the classical theory, and the stochastic packed model is more promising for numerical simulation of filtration combustion in comparison with the traditional regular structures.
Enhanced surface plasmon resonance in gold nanoparticles dewetted on monolayer hexagonal boron nitride
Authors: Abdullah Mohd Faizol
Published: October 2021

In this paper, the effect of dewetted gold nanoparticles (AuNPs) on hexagonal boron nitride (hBN) is discussed along with the changes in surface plasmon resonance (SPR). Au is sputtered on monolayer hBN/SiO2/Si substrate for a varied duration and subjected to thermal annealing. Monolayer hBN is verified by spectroscopic ellipsometry using the Tauc–Lorentz model, while the AuNPs are modeled using a combination of Gauss, Cody–Lorentz, and Tanguy dispersion laws. Sputtering of Au on hBN/SiO2/Si results in a film-like layer compared to the one on SiO2/Si. Before annealing, the improved uniformity of Au on hBN/SiO2/Si diminished the SPR wavelength, [Formula: see text], when the sputter duration exceeded 30 s, much sooner compared to 120 s from the one on SiO2/Si. After annealing, the [Formula: see text] is vibrant for all samples around 2.3 eV. Au dewetted more on hBN due to higher surface tension. Large dewetted AuNPs supported by hBN result in higher photon extinction at [Formula: see text]. The longest sputter duration of 120 s on hBN/SiO2/Si (mean size 53 nm) exhibited an 11.2% higher extinction coefficient compared to the one on SiO2/Si (mean size 39.6 nm). Findings support the advantages of preparing plasmonic AuNPs by dewetting on monolayer hBN.
A Global Workspace Model Implementation and its Relations with Philosophy of Mind
Authors: Garrido-Mercháin Eduardo C. , Molina Martín , Mendoza-Soto Francisco M.
Published: October 2021

This work seeks to study the beneficial properties that an autonomous agent can obtain by imitating a cognitive architecture similar to that of conscious beings. Throughout this document, a cognitive model of an autonomous agent-based in a global workspace architecture is presented. We hypothesize that consciousness is an evolutionary advantage, so if our autonomous agent can be potentially conscious, its performance will be enhanced. We explore whether an autonomous agent implementing a cognitive architecture like the one proposed in the global workspace theory can be conscious from a philosophy of mind perspective, with a special emphasis on functionalism and multiple realizability. The purposes of our proposed model are to create autonomous agents that can navigate within an environment composed of multiple independent magnitudes, adapting to its surroundings to find the best possible position according to its inner preferences and to test the effectiveness of many of its cognitive mechanisms, such as an attention mechanism for magnitude selection, possession of inner feelings and preferences, usage of a memory system to storage beliefs and past experiences, and incorporating the consciousness bottleneck into the decision-making process, that controls and integrates information processed by all the subsystems of the model, as in global workspace theory. We show in a large experiment set how potentially conscious autonomous agents can benefit from having a cognitive architecture such as the one described.
δ-

Risk

: Toward Context-aware Multi-objective Privacy Management in Connected Environments
Authors: Bou-Chaaya Karam , Chbeir Richard , Alraja Mansour Naser , Arnould Philippe , Perera Charith , Barhamgi Mahmoud , Benslimane Djamal
Published: October 2021

In today’s highly connected cyber-physical environments, users are becoming more and more concerned about their privacy and ask for more involvement in the control of their data. However, achieving effective involvement of users requires improving their privacy decision-making. This can be achieved by: (i) raising their awareness regarding the direct and indirect privacy risks they accept to take when sharing data with consumers; (ii) helping them in optimizing their privacy protection decisions to meet their privacy requirements while maximizing data utility. In this article, we address the second goal by proposing a user-centric multi-objective approach for context-aware privacy management in connected environments, denoted δ-

Risk

. Our approach features a new privacy risk quantification model to dynamically calculate and select the best protection strategies for the user based on her preferences and contexts. Computed strategies are optimal in that they seek to closely satisfy user requirements and preferences while maximizing data utility and minimizing the cost of protection. We implemented our proposed approach and evaluated its performance and effectiveness in various scenarios. The results show that δ-

Risk

delivers scalability and low-complexity in time and space. Besides, it handles privacy reasoning in real-time, making it able to support the user in various contexts, including ephemeral ones. It also provides the user with at least one best strategy per context.
Leveraging Deep Statistics for Underwater Image Enhancement
Authors: Wang Yang , Cao Yang , Zhang Jing , Wu Feng , Zha Zheng-Jun
Published: October 2021

Underwater imaging often suffers from color cast and contrast degradation due to range-dependent medium absorption and light scattering. Introducing image statistics as prior has been proved to be an effective solution for underwater image enhancement. However, relative to the modal divergence of light propagation and underwater scenery, the existing methods are limited in representing the inherent statistics of underwater images resulting in color artifacts and haze residuals. To address this problem, this article proposes a convolutional neural network (CNN)-based framework to learn hierarchical statistical features related to color cast and contrast degradation and to leverage them for underwater image enhancement. Specifically, a pixel disruption strategy is first proposed to suppress intrinsic colors’ influence and facilitate modeling a unified statistical representation of underwater image. Then, considering the local variation of depth of field, two parallel sub-networks: Color Correction Network (CC-Net) and Contrast Enhancement Network (CE-Net) are presented. The CC-Net and CE-Net can generate pixel-wise color cast and transmission map and achieve spatial-varied color correction and contrast enhancement. Moreover, to address the issue of insufficient training data, an imaging model-based synthesis method that incorporates pixel disruption strategy is presented to generate underwater patches with global degradation consistency. Quantitative and subjective evaluations demonstrate that our proposed method achieves state-of-the-art performance.
A Fractional Order Hepatitis C Mathematical Model with Mittag-Leffler Kernel
Authors: Alshehri Hashim M. , Khan Aziz
Published: October 2021

In this paper, a mathematical fractional order Hepatitis C virus (HCV) spread model is presented for an analytical and numerical study. The model is a fractional order extension of the classical model. The paper includes the existence, singularity, Hyers-Ulam stability, and numerical solutions. Our numerical results are based on the Lagrange polynomial interpolation. We observe that the model of fractional order has the same behavior of the solutions as the integer order existing model.
Application of Deep Neural Network Factor Analysis Model in Operating Room Management Nursing Analysis of Postoperative Infection Nursing after Thoracic Surgery
Authors: Wen Jing , He Jun
Published: October 2021

Thoracic surgery is the main surgical method for the treatment of respiratory diseases and lung diseases, but infections caused by improper care are prone to occur during the operation, which can induce pulmonary edema and lung injury and affect the effect of the operation and the subsequent recovery. Therefore, it is necessary to control the disease in time and adopt more scientific and comprehensive nursing measures. Based on the neural network algorithm, this paper constructs a neural network-based factor analysis model and applies the operating room management nursing to postoperative infection nursing after thoracic surgery and verifies the effect through the neural network model. The statistical parameters in this article mainly include the postoperative infection rate of thoracic surgery, patient satisfaction, postoperative rehabilitation effect, and complications. Through statistical analysis, it can be known that operating room management and nursing can play an important role in postoperative infection nursing after thoracic surgery, effectively reducing postoperative infection nursing after thoracic surgery, and improving the recovery effect of patients after infection.
Integrating Network Pharmacology and Experimental Validation Deciphers the Mechanism of Guizhi Fuling Wan against Adenomyosis
Authors: Wang Haoxian , Zhang Jihong , Zhu Qinqin , Fu Xianyun , Li Chenjie
Published: October 2021

Aim. This study aimed to predict the key targets and endocrine mechanisms of Guizhi Fuling Wan (GZFLW) in treating adenomyosis (AM) through network pharmacology, molecular docking, and animal experiment verification. Methods. The related ingredients and targets of GZFLW in treating AM were screened out using TCMSP, BATMAN-TCM, SwissTargetPrediction, and PubChem Database. Then, the protein-protein interaction (PPI) analysis and the network of compound-hub targets were constructed. At the same time, the key targets were uploaded to the Metascape Database for KEGG pathway enrichment analysis. After that, the molecular docking technology of the main active components and hub targets was performed. Furthermore, animal experiments were used to verify the results of network pharmacology analysis. Results. A total of 55 active ingredients of GZFLW and 44 overlapping targets of GZFLW in treating AM were obtained. After screening, 25 hub targets were collected, including ESR1, EGF, and EGFR. Then, the KEGG pathway enrichment analysis results indicated that the endocrine therapeutic mechanism of GZFLW against AM is mainly associated with the estrogen signaling pathway, endocrine resistance, and an EGFR tyrosine kinase signaling pathway. Then, molecular docking showed that the significant compounds of GZFLW had a strong binding ability with ERα and EGFR. More importantly, the animal experiments confirmed that the GZFLW could downregulate the abnormal infiltration of the endometrial epithelium into the myometrium and had no interference with the normal sexual cycle. This effect may be directly related to intervening the local estrogen signaling pathway of the endometrial myometrial interface (EMI). It may also be associated with the myometrium cells’ estrogen resistance via GPER/EGFR signaling pathway. Conclusion. The endocrine mechanism of GZFLW in treating AM was explored based on network pharmacology, molecular docking, and animal experiments, which provided a theoretical basis for the clinical application of GZFLW.
Influences of Agrochemicals on Health and Ecology in Vietnamese Mango Cultivation
Authors: Truong Kiet Hong Vo Tuan , Pham Nguyen Thi , Nguyen Thoa Thi Kim
Published: October 2021

The study aims to identify risks of agrochemicals that impact farmworkers, consumers, and ecology in Vietnamese mango cultivation to enhance safety and friendly production. The study finds out the total numbers of root fertilizers (N-P-K) of the noncooperative and cooperative farmers are similar, approximately 1,400 kg/ha/year higher than those in other countries. Excessive fertilizer usage is a potential threat to soil, water, and air pollution. In addition, the findings indicate that the ecology component is undergoing the most negative impact from excessive agrochemical use in mango farming. The vast majority of agrochemicals in mango cultivation are fungicide and paclobutrazol over 90% of the total number of agrochemicals used in both noncooperative and cooperative farmer groups among the three seasons. Total field EIQ of the cooperative grower category is less than that of the noncooperative grower category. These results show that mango cultivation should consider rejecting the banned active ingredients of glyphosate, paraquat, and carbendazim as well as reducing fungicide and paclobutrazol usage and encouraging cooperative participation to safeguard the environment and human health. Moreover, science information needs to be closely linked and fed back to policy development to boost the management of the awareness of the ecological risks for farmers associated with reducing agrochemical use in mango cultivation.
Apparel Design and Development Based on 3D Scanning Technology
Authors: Zhang Guodong
Published: October 2021

With the development of computer science, especially the application of 3D scanning technology in garment design, intelligent modeling is realized, which is impossible to achieve in traditional design methods. In this paper, we propose the 3D model construction of human garments based on the motion recovery structure method. The eigenmatrix is obtained from the camera parameters, and the transformation matrix is calculated by matching the image feature points with the help of scale-invariant feature conversion algorithm to realize the 3D reconstruction technology of human garments based on multiview image sequences. The effectiveness of this method is verified through experiments, and it has good robustness and accuracy. Through the form of style modeling, the design thinking and method can be extended to form a more reasonable garment structure and guide the innovation of garment production mode.
Design of Process Products Based on Image Processing Multimode Interaction
Authors: Sun Wei , Li Lijun
Published: October 2021

With the development of modern science and technology and more and more image processing systems, related technologies are becoming more and more complex. The application of image processing technology can be seen in various fields of society, such as medical field, aerospace field and life, and entertainment field. Due to the increasing amount of information on the picture, the requirements for the speed and clarity of image processing are also increasing. The existence of various external factors will lead to the production of image products and objects between the error and distortion problems. In order to make the process product design more authentic and reliable, this paper studies the process product design based on image processing multimode interaction. It uses radiometric correction and geometric correction to process distorted images and uses GPU parallel computing technology to accelerate the correction process. In this paper, this technology is applied to the visual recognition of welding robot, and the experiment shows that the product produced by the image processed by this module can obviously reduce the error.
Rheological Characteristics of Tire Rubber-Modified Asphalt following Thermal Variation
Authors: Chen S. , Cao J. , Zheng C. f. , Guo X. D.
Published: October 2021

In recent years, due to the development of the automobile industry, there are more and more waste car tires, and the reuse of waste tires has become an urgent problem to be solved. In this study, the crushed rubber of waste automobile tires is used to modify asphalt to prepare rubber-modified asphalt, which can not only solve the problem of using waste tires but also effectively improve the performance of asphalt pavement. This study defines four modified asphalts with different rubber powder content, which are defined as 1#, 2#, 3#, and 4#, respectively. The performance difference between the four modified asphalts and the base asphalt was compared through experiments to illustrate the advantages of rubber-modified asphalt. The four selected rubber asphalts and base asphalt are subjected to the viscous toughness test, apparent viscosity test, DSR test, and BBR test to determine the high- and low-temperature characteristics of rubber asphalt. The analysis of experimental data shows that rubber-modified asphalt can effectively improve the low-temperature performance of the asphalt, make the asphalt have better toughness, and also improve the high-temperature shear resistance of the asphalt. Finally, it is determined that adding 10% rubber powder to the base asphalt has the best effect.
[Retracted] Effect of Erdosteine on Middle Ear Effusion in Rats by Mediating TLR4 Signaling Pathway
Authors: Li Te , Zeng Wanting , Liu Rongrong
Published: October 2021

The study aimed to investigate the effect of erdosteine on middle ear effusion in rats through mediating the Toll‐like receptor 4 (TLR4) signaling pathway. Rats were injected with endotoxin to prepare the model of acute secretory otitis media (SOM). Then, they were divided into an acute SOM model group (model group, n = 15) and erdosteine treatment group (18 mg/kg, gavage, treatment group, n = 15). Besides, a normal group (n = 15) was set up. Two weeks later, routine biochemical indicators such as aspartate aminotransferase (AST) and alkaline phosphatase (ALP) were detected. The inflammatory effusion due to otitis media was scored. The content of myeloperoxidase (MPO), matrix metalloproteinase (MMP), and tumor necrosis factor‐beta (TNF‐β) in middle ear lavage fluid was detected via enzyme‐linked immunosorbent assay (ELISA). Additionally, histomorphological changes were observed with the help of hematoxylin‐eosin (HE) staining, and quantitative reverse transcription‐polymerase chain reaction (qRT‐PCR) and Western blotting assays were carried out to measure the expression levels of TLR4 pathway genes and proteins as well as the messenger ribonucleic acid (mRNA) expression levels of key factors for otitis media (mucin 2 (MUC2) and MUC5A). In the model group, the levels of AST, ALP, and glutamic‐pyruvic transaminase (GPT) were significantly increased (p < 0.05). Besides, the content of MPO, MMP, and TNF‐β was overtly raised in the model group (p < 0.05), while it was notably lowered in the treatment group (p < 0.05). In the treatment group, the cilia were slightly swollen, and inflammatory cells were fewer. The mRNA levels of MUC2, MUC5A, and pathway genes TLR4 and c‐Jun N‐terminal kinase (JNK) were elevated in the model group. In addition, the protein assay results revealed that the protein levels of TLR4 and JNK were evidently increased in the model group. Erdosteine can treat the middle ear effusion in rats by repressing the activation of the TLR4 signaling pathway.
A Phase 0 Trial of Ceritinib in Patients with Brain Metastases and Recurrent Glioblastoma
Authors: Mehta Shwetal , Fiorelli Roberto , Bao Xun , Pennington-Krygier Chelsea , Derogatis Alanna , Kim Seongho , Yoo Wonsuk , Li Jing , Sanai Nader
Published: October 2021

Purpose:

Ceritinib is an orally bioavailable, small-molecule inhibitor of anaplastic lympoma kinase (ALK), insulin-like growth factor 1 receptor (IGFR1), and focal adhesion kinase (FAK), which are highly expressed in glioblastoma and many brain metastases. Preclinical and clinical studies indicate that ceritinib has antitumor activity in central nervous system (CNS) malignancies. This phase 0 trial measured the tumor pharmacokinetics (PK) and pharmacodynamics (PD) of ceritinib in patients with brain metastasis or recurrent glioblastoma.

Patients and Methods:

Preoperative patients with brain tumors demonstrating high expression of pSTAT5b/pFAK/pIGFR1 were administered ceritinib for 10 days prior to tumor resection. Plasma, tumor, and cerebrospinal fluid (CSF) samples were collected at predefined timepoints following the final dose. Total and unbound drug concentrations were determined using LC-MS/MS. In treated tumor and matched archival tissues, tumor PD was quantified through IHC analysis of pALK, pSTAT5b, pFAK, pIGFR1, and pIRS1.

Results:

Ten patients (3 brain metastasis, 7 glioblastoma) were enrolled and no dose-limiting toxicities were observed. Ceritinib was highly bound to human plasma protein [median fraction unbound (Fu), 1.4%] and to brain tumor tissue (median Fu, 0.051% and 0.045% in gadolinium-enhancing and -nonenhancing regions respectively). Median unbound concentrations in enhancing and nonenhancing tumor were 0.048 and 0.006 μmol/L, respectively. Median unbound tumor-to-plasma ratios were 2.86 and 0.33 in enhancing and nonenhancing tumor, respectively. No changes in PD biomarkers were observed in the treated tumor samples as compared to matched archival tumor tissue.

Conclusions:

Ceritinib is highly bound to plasma proteins and tumor tissues. Unbound drug concentrations achieved in brain metastases and patients with recurrent glioblastoma were insufficient for target modulation.
Peanut Component Ara h 1 and 2 Sensitization in Patients with Food Allergy in Kuwait
Authors: Al-Ahmad Mona , Jusufovic Edin , Arifhodzic Nermina , Rodriguez-Bouza Tito
Published: October 2021

Introduction: There is limited knowledge on the sensitization patterns to peanut proteins and food allergy in the Middle East. The objective of this study is to analyze the relationship between sensitization patterns to peanut proteins and clinical symptoms in a group of patients with physician-diagnosed peanut allergy (PA) in Kuwait. Methods: PA patients were evaluated by the skin prick test (SPT), serum total IgE, peanut-specific IgE (sIgE), and sIgE against Ara h 1–3, 8, and 9, and clinical data were collected. Results: Sixty-nine patients were included. A positive correlation between peanut SPT and sIgE was detected for all 3 storage proteins (Ara h 1–3) in patients <6 years old and for Ara h 1 and 2 in older patients. ROC analysis of positive correlations showed that oral food challenge should be considered for definite diagnosis of PA only if the level of Ara h 2 is <22.25 KUA/L, with level of Ara h 2 ≥15.4 allowing the detection of systemic reactions with a sensitivity of 55.56%. Patients presenting with systemic reactions more frequently had positive Ara h 1 (88.9%) and Ara h 2 (83.3%), compared with 44.1% and 52.9% in those with local reaction (p = 0.0046 and p = 0.0378). The levels of Ara h 1 and 2 were also significantly higher in patients with systemic reactions compared to those with a local reaction, with those differences being especially relevant for Ara h 2 (15.9 vs. 0.4) (p = 0.0005). Conclusions: The pattern of sensitization to peanut proteins in the Middle East is similar to that of the Western world. Measurement of sIgE antibodies to Ara h 1, 2, and 3 is useful in the diagnosis of PA and in the investigation of reactions to raw and roasted peanuts.
Heart rate events classification via explainable fuzzy logic systems
Authors: Dahalan Anis Jannah , Razak Tajul Rosli , Ismail Mohammad Hafiz , Mohd Fauzi Shukor Sanim , JM Gining Ray Adderley
Published: October 2021

As people, we have no way of knowing whether our heart rate is considered normal or not. The strength and quality of our pulses will deteriorate as we get older. As a result, this may indicate a heart attack or another illness that requires immediate attention. The main goal of this paper is to define the heart rate stage using fuzzy logic systems (FLSs). In practice, however, designing or developing fuzzy logic systems is extremely difficult. To achieve this aim, we suggested a solution that involves: i) classifying the medical expert's criterion for signs of heart rate; ii) developing an explainable fuzzy logic system for heart rate measurement; and iii) evaluating the proposed system with human experts. In addition, the aim of this research was to provide an explainable fuzzy system that people could use to self-monitor heart rate levels and determine their health status. As a result, it is hoped that this research would provide insight into how to improve the development of fuzzy logic systems, especially in the field of medical applications.
A novel ontology framework supporting model-based tourism recommender
Authors: Quoc Dung Ho , Thi Quynh Le Lien , Huu Hoang Tho Nguyen , Quoc Truong Tri , H. Nguyen-Dinh Cuong
Published: October 2021

In this paper, we present a tourism recommender framework based on the cooperation of ontological knowledge base and supervised learning models. Specifically, a new tourism ontology, which not only captures domain knowledge but also specifies knowledge entities in numerical vector space, is presented. The recommendation making process enables machine learning models to work directly with the ontological knowledge base from training step to deployment step. This knowledge base can work well with classification models (e.g., k-nearest neighbours, support vector machines, or naıve bayes). A prototype of the framework is developed and experimental results confirm the feasibility of the proposed framework.
DC/DC converter control using suggested artificial intelligent controllers
Authors: Abed Issa Ahmed , Hameed Majeed Samar
Published: October 2021

In order to provide constant DC voltage, buck converter is used which is a common converter in different applications. The use of artificial control methods for DC/DC converter will increase the productivity, spend low energy, and able to avoid the changes. Here, in order to control the proposed converter, intelligent regulation is utilized. Different methods have been suggested to satisfy the need of the output. The work uses proportional-integral-derivative (PID) controller which is received the error difference between the output and the desired. Fuzzy logic controller (FLC) is also used. While the fuzzy-PID supervised (FSC-PID) where the parameters of the PID is updated using the fuzzy system. The explanation of the proposed controllers is presented in this paper. PID, fuzzy logic controller, and fuzzy-PID supervised have been designed and implemented using MATLAB in order to settle the output of buck DC/DC converter. The complete system has been built in MATLAB/Simulink. The proposed controller keeps track the output to be exactly the set signal.
The comparison of dual axis photovoltaic tracking system using artificial intelligence techniques
Authors: Ali Machrus , Firdaus Aji Akbar , Arof Hamzah , Nurohmah Hidayatul , Suyono Hadi , Putra Dimas Fajar Uman , Aziz Muslim Muhammad
Published: October 2021

In this paper, the efficiency of photovoltaic panels is improved by adding a sun tracking system. The solar tracking system is used for tracking the sun so that photovoltaic always faces the sun. This system uses a dual axis consisting of horizontal rotation axis and a vertical rotation axis. The horizontal rotational axis motion is to follow the azimuth angle of the sun from north to south. Then, to follow the sun's azimuth angle from east to west is the vertical axis motion. Both types of movements are controlled using a PID controller that is optimized with an artificial intelligence approach, namely particle swarm optimization (PID-PSO), firefly algorithm (PID-FA), imperialist competitive algorithm (PID-ICA), bat algorithm (PID-BA), and ant colony optimization (PID-ACO). Experiments of various approaches were carried out and the corresponding performance compared. The experimental results show that PID-BA performs best in terms of settling time and overshoot. The results also allow the comparison of different PID controller and the calculation of the fastest completion time.
A self-adaptation algorithm for quay crane scheduling at a container terminal
Authors: Yassen Esam Taha , Ayob Masri , Jihad Alaa Abdalqahar , Ahmad Nazri Mohd Zakree
Published: October 2021

Quay cranes scheduling at container terminals is a fertile area of study that is attracting researchers as well as practitioners in different parts of the world, especially in OR and artificial intelligence (AI). This process efficiency may affect the accomplishment and the competitive merits. As such, four local search algorithms (LSs) are utilized in the current work. These are hill climbing (HC), simulated annealing (SA), tabu search (TS), and iterated local search (ILS). The results obtained demonstrated that none of these LSs succeeded to achieve good results on all instances. This is because different QCSP instances have different characteristics with NP-hardness nature. Therefore, it is difficult to define which LS can yield the best outcomes for all instances. Consequently, appropriate LS selection should be governed by the type of problem and search status. The current work proposes to achieve this, the self-adaptation heuristic (self-H). The self-H is composed of two separate stages: The upper (LS-controller) and the lower (QCSP-solver). The LS-controller embeds an adaptive selection mechanism to adaptively select which LS is to be adopted by the QCSP-solver to solve the given problem. The results revealed that the self-H outperformed others as it attained better results over most instances and competitive results.
Evolución de la regulación jurídica sobre seguridad alimentaria de las personas celíacas en Argentina
Authors: Villalba Andrés Jesús , Marichal María Eugenia
Published: October 2021

El presente trabajo explora el ordenamiento juridico argentino para reconstruir sistematicamente el marco protectorio de la seguridad alimentaria de las personas celiacas. Se trata centralmente de analizar la Ley Nacional de Celiaquia No 26.588 que constituye la base normativa para su proteccion. Se relevan tambien otras normas importantes del marco protectorio de la salud en terminos amplios, como son las normas de derecho del consumidor. El objetivo es determinar cuales son los elementos normativos que efectivamente inciden sobre la seguridad alimentaria de la poblacion celiaca. Asi tambien, se trata de establecer cual es el nivel de proteccion de su derecho, constitucionalmente reconocido, a una alimentacion adecuada. En terminos metodologicos, el trabajo se basa centralmente en un analisis documental clássico del conjunto de normas juridicas indicado. Las claves de analisis normativo se construyeron a partir de otras fuentes documentales complementarias como manuales de buenas practicas o publicaciones de acceso abierto editadas por asociaciones de las personas celiacas. En primer lugar, se realiza una breve descripcion de la enfermedad celiaca y de las principales problematicas que afectan a la poblacion celiaca en relacion al concepto de seguridad alimentaria. Luego, se ordena cronologicamente la construccion del reciente marco normativo nacional que tutela a la poblacion celiaca. En tercer lugar, se analiza la legislacion vigente a fin de identificar tanto los derechos que reconoce el Estado nacional como los instrumentos que disena para hacerlos efectivos. Por ultimo, se esbozan algunas lineas a modo de conclusion.
Is release of rehabilitated wildlife with embedded lead ammunition advisable? Plumbism in a Jaguar Panthera Onca (Mammalia: Carnivora: Felidae), survivor of gunshot wounds
Authors: Eduardo A. Díaz  , Carolina Sáenz  , E. Santiago Jiménez  , David A. Egas  , Kelly Swing
Published: October 2021

Lead poisoning is a threat to wildlife, particularly after ingestion of lead ammunition derived from hunting activities. Little information, however, is available concerning plumbism in wild animals that survive the trauma associated with gunshot wounds. This study presents a possible example of lead intoxication by embedded pellets in a Jaguar Panthera onca nineteen months after being injured by a shotgun blast. In addition, the possible path of incorporation of lead into the trophic chain after the eventual release and death of an impacted animal, thereby expanding and prolonging the toxic effects of lead ammunition, is discussed. Direct intoxication by ammunition retained in the body of wild animals, as well as the indirect impacts on predators and scavengers that consume their flesh, should be sufficient reasons to reconsider the release of individuals with embedded lead ammunition into the wild.
Rediscovery and extended distribution of Indigofera santapaui Sanjappa (Leguminosae: Papilionoideae) from the states of Maharashtra and Gujarat, India
Authors: Kumar Vinod Chhotupuri Gosavi  , Sanjay Gajanan Auti  , Sharad Suresh Kambale  , Munivenkatappa Sanjappa
Published: October 2021

Indigofera santapaui Sanjappa is a little known endemic legume described from the northern Western Ghats. It is rediscovered and collected from other localities quite away from the type locality. This is found to be the only known species of Indigofera with yellow flowers. A brief description, image, distribution, and ecological notes have been provided to facilitate correct identification and to know its extent of distribution.
Additional distribution records of Ceropegia anjanerica, an endemic and ‘Endangered’ lantern flower of the northern Western Ghats, India
Authors: Samir Shrikant Maity  , Ajay Natha Gangurde  , Sharad Suresh Kambale  , Avinash Ramchandra Gholave  , Avinash Asraji Adsul  , Ganesh Babaso Pawar  , Kumar Vinod Chhotupuri Gosavi
Published: October 2021

Ceropegia anjanerica has been collected from Bhaskargad, Bramha Hill, Bramhagiri Hill, Harihar fort, and Vatvad Hill. Earlier, this endemic species was known from the type locality Anjaneri Hill and its adjacent locality Kushegaon Hill in Nashik District. The notes on its conservation status, occurrence, and variations are provided.
New record of the Sewing Needle Zipper Loach Paracanthocobitis linypha Singer & Page, 2015 (Teleostei: Cypriniformes: Nemacheilidae) from the Chindwin drainage of Manipur, India
Authors: Yumnam Rameshori , Yengkhom Chinglemba  , Waikhom Vishwanath
Published: October 2021

Paracanthocobitis linypha Singer & Page, a freshwater nemacheiline zipper loach, is reported for the first time from the Lokchao River of Manipur (headwaters of Chindwin drainage), in northeastern India. The species is diagnosed in having an incomplete lateral line, flank with 10–14 thin dark bars, long bars occasionally alternating with short bars extending up to about lateral mid-line, interspaces broader than bar width. Morphometric and meristic data of the examined specimens were compared with the original description to validate the species identity.
Notes on the extended distribution of Impatiens megamalayana, a recently described balsam in Western Ghats, India
Authors: Anoop P. Balan  , A.J. Robi
Published: October 2021

Impatiens megamalayana is a recently described balsam from the Megamalai hills of the Western Ghats in Tamil Nadu state. This is a small, annual herb with ridged stem, often distributed in open, wet, rocky grasslands above 1,000 m elevation. The plant considered endemic to the Megamalai hills of Tamil Nadu is recently located in the Urumbikkara hills of Idukki district in Kerala state, which is about 120 km away from its original locality. Urumbikkara is an emerging tourist destination in central Kerala and the newly located populations of the plant are outside protected forest areas and are facing severe threat due to anthrapogenic activities. A detailed description, photographs and distribution maps are provided to facilitate easy identification of the plant in the field. An updated checklist of the genus Impatiens in Kerala state is also furnished for future reference.
Checklist of moths (Heterocera) of Tadong, Sikkim, India
Authors: Chettri Prayash , Matsui Yuki , Naka Hideshi , Tiwari Archana
Published: October 2021

This study attempts to create a checklist of moths recorded from two different parts of Tadong in Sikkim, located in the northeastern Himalaya of India. Out of 160 photographed specimens of moths, 133 species were identified and classified. Sixteen families of moths were recorded out of which Erebidae (30.83%) had the highest number of species followed by Geometridae (24.81%), and Crambidae (18.05%) while the other families comprised of 26.30% of the total species.
Additions to the lichenized and lichenicolous fungi of Jammu & Kashmir from Kishtwar High Altitude National Park
Authors: Kumar Vishal , Sharma Yashpal , Joseph Siljo , Ngangom Roshnikumar , Nayaka Sanjeeva
Published: October 2021

The present study reports 14 lichenized and two lichenicolous fungi new to the mycota of Jammu & Kashmir. The lichenized fungi are Buellia aeruginascens (Nyl.) Zahlbr., Caloplaca pachycheila Poelt & Hinter., Cladonia cervicornis ssp. verticillata (Hoffm.) Ahti, Hafellia curatellae (Malme) Marbach, Hafellia subnexa Marbach, Hafellia tetrapla (Nyl.) Pusswald, Leptogium askotense D.D.Awasthi, Nephromopsis laii (A. Thell & Randlane) Saag & A.Thell, Polycauliona phlogina (Ach.) Arup, Frödén & Søchting, Pyxine cognata Stirt., Rinodina conradii Körb., Rinodina intermedia Bagl., Rinodina oxydata (A.Massal.) A.Massal., and Squamulea squamosa (B.deLesd.) Arup, Søchting & Frödén. The lichenicolous fungi include Abrothallus microspermus Tul. and Lichenoconium lecanorae (Jaap) D.Hawksw. The species are enumerated along with their present distribution.
Roosting habits and habitats of the Indian Flying Fox Pteropus medius Temminck, 1825 in the northern districts of Tamil Nadu, India
Authors: M. Pandian  , S. Suresh
Published: October 2021

This paper pertains to the study on roosting habits and habitats of the Indian Flying Fox Pteropus medius Temminck, 1825 in 12 villages of four northern districts—Vellore, Krishnagiri, Tiruvannamalai, and Viluppuram—of Tamil Nadu. Studies targeted roosting tree species, population status, diurnal-roosting behaviour, interactions with other animals, and probable threats to the species. A total of 22,365 individuals of the species were observed in 72 roosting colonies in 72 trees belonging to nine families, 11 genera, and 13 species. The tree species that harbored the greatest population of P. medius (n= 12,465) were those of Tamarindus indica L. (Fabaceae) (n= 39), followed by Ficus religiosa L. (Moraceae) (n= 3,960), Madhuca latifolia J.F. Macbr. (Sapotaceae) (n= 2,760), and Ficus benghalensis L. (Moraceae) (n= 1,620). One-Way ANOVA revealed that a significant relationship exists between  colony size and tree diameter at breast height (dbh), and their canopy size (p <0.05). However, no significant difference occurred between the colony size and tree height. The time taken for emergence of individuals of the colony from the canopy for foraging varied between 20 and 40 min after 1750 h in the evening. The species mostly roosted on trees proximal to human settlements, electrical power lines, and water bodies. Individuals of P. medius used various tree species in different areas in different geographical regions and did not maintain any consistency in roosting tree species selection. A majority of individuals (88.7 %; n= 887) were found roosting using both legs and a minority of P. medius (11.3 %; n= 113) were clinging to tree branches using one. Individuals of P. medius flew to nearby water bodies to quench thirst and cool their bodies. Mating was observed during day roost in 146 pairs including male-female fellatio in seven pairs. Smoke from shrines in sacred groves, pruning of branches for various cultural reasons, populations of House Crow Corvus splendens (Vieillot, 1817) (Corvidae), Black-winged Kite Elanus caeruleus (Desfontaines, 1789) and Black Kite Milvus migrans (Boddaert, 1783) (both Accipitridae) were key disturbances to roosting populations of P. medius.
A recent sighting of the Stripe-backed Weasel Mustela strigidorsa (Mammalia: Carnivora: Mustelidae) in Hkakabo Razi Landscape, Myanmar
Authors: Oo Sai Sein Lin , Tun Tun , Naing Kyaw Myo , Bates Paul Jeremy James
Published: October 2021

In March 2019, a Stripe-backed Weasel, Mustela strigidorsa, was observed in Hkakabo Razi Landscape, Myanmar. Although geographically widespread in southeastern Asia and neighboring areas of northeastern India and southern China, relatively little is known of this small carnivore, which is seldom recorded in camera traps or seen in the wild. In Myanmar, there are 24 previously published records, almost all from mountainous areas. The recent sighting was of a solitary animal, which was foraging at an altitude of 580 m in a thickly vegetated area in montane evergreen forest, close to a stream. The photographs and video footage are the first for the species from the country.
Evaluation of fish diversity and abundance in the Kabul River with comparisons between reaches above and below Kabul City, Afghanistan
Authors: Kelzang Ugyen , Habibi Ahmad Farid , Thoni Ryan J.
Published: October 2021

The fish fauna of the Kabul River downstream of the City of Kabul face threats from increasing human population such as pollution, overfishing, and increased development. Despite the rapid increase of these activities leading to threats to fishes in the Kabul River, no studies have examined the changes in diversity, distribution, and abundance of fish fauna in the Kabul River surrounding of Kabul City.  In this study, the Kabul River was divided into two zones (upstream and downstream) consisting of six sampling sites (3 sites per zone). Of the total of 1,190 fishes collected, Cypriniformes was the dominant order with one family, six genera, and eight species. Cyprinidae was the dominant family of that order with 81.4% (n= 969) of total individuals. Species abundance was higher in the upstream reaches in almost all analyses. Upstream sites recorded 11 species, while seven species were recorded from downstream sites. Fish species richness was significantly higher upstream versus downstream reaches (9.67 ± 1.53 vs.  6.33 ± .58; U= .00, z= -1.99, p= .04, r= .81). Species diversity upstream was significantly higher than downstream (H’= 1.90 ± 0.15, D1= 0.81 ± 0.02). Similarly, species evenness was also higher upstream than downstream (J’= 0.84 ± 0.01). Low diversity, abundance, and evenness in downstream reaches are likely due to anthropogenic activities affecting the river in and around Kabul City.
Rajnarayan Basu and His “Science of Religion”: The Emergence of Religious Studies through Exchanges between Bengali and Christian Reformers, Orientalists, and Theosophists
Authors: Strube Julian
Published: October 2021

This article explores the genealogy of the “science of religion” developed by the Bengali intellectual Rajnarayan Basu (1826–1899). One of my central aims is to demonstrate that a “science of religion,” or Religionswissenschaft in the sense of Friedrich Max Müller, has emerged within a global context that was actively shaped by “non-Western” actors. To this end, I will focus on exchanges between the Indian reform movement of the Brahmo Samaj, Christian Unitarians, Transcendentalists, orientalist scholars, and members of the Theosophical Society. All these actors were concerned with the origin of religion, its modern meaning, and its function in shaping the future of society. Building on an analysis of the global exchanges revolving around these issues, special attention is paid to the inherent tensions between religious universalism and a nationalist insistence on “true religion,” which directly pertains to contested demarcations between reform and revival, or modernity and tradition.
Global Religious History in Theory and Practice
Authors: Bergunder Michael
Published: October 2021

“Global religious history” derives its name from the German phrase “globale Religionsgeschichte”. This term articulates an approach that aims to be relevant to the whole field of religious studies, and it encompasses theoretical debates, particularly in the areas of postcolonialism and gender studies. Thus, “Global” embodies, acknowledges, and incorporates all prevalent terms of and the parameters for the global constitution of present-day academia and society. “Religious” means that it concerns religious studies. “History” denotes a genealogical critique as the central research interest. Historicization in that sense is not limited to philological research of sources from the past but also relevant to any research based on data from contemporary anthropological fieldwork or other empirical methods. This approach also aims to provide a pertinent influence on research practice, and seeks to circumvent any artificial segregation of theory and practice.
The Yoga Studies Dispositif
Authors: Di Placido Matteo
Published: October 2021

In this paper I provide a preliminary account of the Yoga Studies Dispositif, that is, that specific apparatus of knowledge production, legitimization, and dissemination that has allowed the birth and development of the discipline of “modern yoga research” as an autonomous field of study and, in turn, has asserted the study of modern forms of yoga as its primary object of inquiry. More specifically, and in line with the constructionist epistemology taken by the “discursive study of religion” approach, I focus on the processes of boundary-work and boundary-object creation of modern yoga research and argue that these are the most influential discursive strategies adopted in the formation of this new discipline. Following on this premise, I contend that similar processes of demarcation and conceptual production are also pivotal to the birth and development of other sub-disciplines within the study of religion.
A Critical Perspective on Syndemic Theory and Social Justice
Authors: Weiss Nicole M.
Published: October 2021

Syndemic theory proposes that social phenomena play critical roles in the production and spreading of epidemics and that a syndemic is the result of multiple, adversely interacting epidemics. As currently framed, only the co-occurrence of multiple biological epidemics constitutes a syndemic – social phenomena are treated as risk factors but not epidemics in their own right. I argue that social phenomena such as direct violence (e.g. interpersonal violence, genocide, ethnic cleansing, colonialism, and imperialism) and structural violence (e.g. poverty, racism, historical trauma, and political disenfranchisement) are widespread and adversely affect health in many Indigenous communities, thus meeting the definition of an epidemic. As such, I propose that syndemic theory must be reconceptualized to consider biological and social epidemics, with both types framed as treatable and preventable. Wider acceptance of this frame across disciplines facilitates creation of a collective action frame, which in turn allows us to demand accountability from policymakers – and to demand justice.
Studying Up: Four Modalities, Two Challenges
Authors: Gusterson Hugh
Published: October 2021

In her 1973 article “up the anthropologist” Laura Nader called on anthropologists to engage in critical studies of the relationship between powerful institutions and the broader society, using a “vertical slice” approach. But Nader worried that participant observation was hard in the context of studying up, and yet it has been presented as definitive of anthropology’s methodology. This article discusses four methodological strategies for studying up in the light of this concern: insider ethnography; covert ethnography; remote ethnography; and adapted participant observation. The first two have intellectual or ethical liabilities. The last is increasingly normalized. Going forward, anthropologists studying up face two obstacles: first, the increasingly totalizing hold of corporate and government workplaces over their employees, even when they are not at work; and, second, university institutional review boards (irb s) concerned to avoid conflictual or critical research.