bluuebunny/crossref_metadata_2025 huggingface dataset:
Biblical versus Greek Narratives for Suicide Prevention and Life Promotion: Releasing Hope from Pandora’s Urn
Authors: Kaplan Kalman J.
Published: March 2021

Although suicide has been unfortunately stigmatized unfairly through the ages, we should not make the mistake of going to the opposite extreme and valorizing it. We should not forget that the major role of health care professionals is to prevent suicide when possible and to invigorate the underlying life force in the person. Suicide is often the ultimate outcome of a tragic and pessimistic view of life. It was prevalent in ancient Greek writing. Indeed, over 16 suicides and self-mutilations can be found in the 26 surviving tragedies of Sophocles and Euripides. In contrast, only six suicides can be found in the Hebrew Scriptures, and only one suicide in the Christian Scriptures. In addition, the Hebrew Scriptures present numerous suicide-prevention narratives that effectively provide a psychological instruction for people in despair which seems unavailable to figures in the writings of the great Greek tragedians. Unfortunately, some religious traditions tended to go to the opposite extreme in stigmatizing suicide rather than understanding it and trying to prevent it. This paper examines evidence regarding seven evidence-based risk factors for suicide: (1) Feeling depressed and isolated; (2) Feeling one’s life is without purpose; (3) Being a refugee from one’s homeland; (4) Feeling unable to express oneself with others; (5) Being adopted; (6) Feeling abandoned by one’s child leaving the family nest; and (7) Feeling doomed by a dysfunctional (indeed incestuous) family of origin We contrast biblical and Greek narratives regarding each of these factors, respectively: (1) Elijah against Ajax, (2) Job against Zeno, (3) David against Coriolanus, (4) Jonah against Narcissus, (5) Moses against Oedipus, (6) Rebecca against Phaedra, and finally, (7) Ruth against Antigone. These biblical figures thrive across risk factors while their Greek and Roman counterparts kill or mutilate themselves or provoke others to do the job. All these contrasts should demonstrate to psychotherapists, counselors, and clergy alike as to how Greek narratives lead to self-destructive behaviors while biblical narratives provide a hopeful positive psychology, and a constructive way out these dilemmas. My colleagues (Paul Cantz, Matthew Schwartz, and Moriah Markus-Kaplan) and I call for a biblical psychotherapy for positive psychology, suicide prevention, and indeed life promotion. Where hope is locked up in Pandora’s urn after she has released all the evils unto the world, the biblical God places hope into the sky as a bow after Noah and his family and all the creatures on the ark disembark to land after the receding of the flood.
A Correction Method for Wet Gas Flow Metering Using a Standard Orifice and Slotted Orifices
Authors: Tomaszewska-Wach Barbara , Rzasa Mariusz
Published: March 2021

Flow measurements that utilize differential pressure meters are commonly applied in industry. In such conditions, gas flow is often accompanied by liquid condensation. For this reason, errors occur in the metering process that can be attributed to the fluctuations in continuous phase parameters in the flow. Furthermore, the occurrence of a dispersed phase results in flow disturbance and dynamic pressure pulsations. For the above reasons, new methods and tools are sought with the purpose of performing measurements of gas-liquid flows providing measurement results that can be considered as fairly accurate in the cases when flow involves a liquid phase form. The paper reports the results of a study involving measurement of wet gas flow using differential pressure flowmeters. The experiments were conducted for three constant mass air flow rates equal to 0.06, 0.078 and 0.086 kg/s. After stabilization of the air flow rates, water was fed into the pipe with flow rates in the range from 0.01 to 0.16 kg/s. The research involved a standard orifice and three types of slotted orifices with various slot arrangements and geometries. The analysis focused on the effect of orifice geometry on the flow metering results. On the basis of the results, it was found that the slotted orifice generates smaller differential pressure values compared to the standard orifice. The water mass fraction in the gas leads to overestimated results of measurements across the flowmeter. Regardless of the type of the orifice, is necessary to undertake a correction of the results. The paper proposes a method of gas mass flow correction. The results were compared with the common over-reading correction models available in the literature.
Identification of Human Motion Using Radar Sensor in an Indoor Environment
Authors: Kang Sung-wook , Jang Min-ho , Lee Seongwook
Published: March 2021

In this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor. In our method, two signal processing is performed in parallel to identify the human motions. First, the moment at which a person’s motion changes is determined based on the statistical characteristics of the radar signal. Second, a deep learning-based classification algorithm is applied to determine what actions a person is taking. In each of the two signal processing, radar spectrograms containing the characteristics of the distance change over time are used as input. Finally, we evaluate the performance of the proposed method with radar sensor data acquired in an indoor environment. The proposed method can find the moment when the motion changes with an error rate of 3%, and also can classify the action that a person is taking with more than 95% accuracy.
Online Learning Approach for Predictive Real-Time Energy Trading in Cloud-RANs
Authors: Wan Ariffin Wan Nur Suryani Firuz Wan , Zhang Xinruo , Nakhai Mohammad Reza , Rahim Hasliza A. , Ahmad R. Badlishah
Published: March 2021

Constantly changing electricity demand has made variability and uncertainty inherent characteristics of both electric generation and cellular communication systems. This paper develops an online learning algorithm as a prescheduling mechanism to manage the variability and uncertainty to maintain cost-aware and reliable operation in cloud radio access networks (Cloud-RANs). The proposed algorithm employs a combinatorial multi-armed bandit model and minimizes the long-term energy cost at remote radio heads. The algorithm preschedules a set of cost-efficient energy packages to be purchased from an ancillary energy market for the future time slots by learning both from cooperative energy trading at previous time slots and by exploring new energy scheduling strategies at the current time slot. The simulation results confirm a significant performance gain of the proposed scheme in controlling the available power budgets and minimizing the overall energy cost compared with recently proposed approaches for real-time energy resources and energy trading in Cloud-RANs.
Application of the TDR Sensor and the Parameters of Injection Irrigation for the Estimation of Soil Evaporation Intensity
Authors: Walczak Amadeusz , Lipiński Mateusz , Janik Grzegorz
Published: March 2021

The objective of the study was to develop a precise method of determination of the evaporation rate in a soil irrigated with the use of a mobile injection irrigation system. Two methods of constructing functions approximating the value of evaporation have been developed. In the first method, the domain comprises the parameters of injection irrigation, i.e., the dose and the depth of injection, and in the second, the volumetric moisture of soil in the layer immediately below the soil surface, which was measured with time-domain reflectometry (TDR) sensors. For that purpose, a laboratory experiment was carried out, based on 12 physical models. The study was conducted on a natural soil material, with particle size distribution of its mineral parts corresponding to that of a loamy sand soil. It was demonstrated that evaporation intensity increases with irrigation and decreases with increase in the depth of water application. Using TDR sensors, it was also shown that evaporation intensity increases proportionally to the weighted arithmetic mean of the volumetric moisture. Comparison of the two methods indicates that the evaporation intensity of injection-irrigated soil can be estimated with higher accuracy when the domain of the approximating function is the injection depth and dose than when the domain of the function is the weighted mean of volumetric moisture of the surface horizon of the soil. However, the method using TDR sensors for the estimation of evaporation intensity of an injection-irrigated soil has a greater potential for the construction of universal approximating models. In addition, the advantage of the method based on the use of TDR sensors is that it uses arguments for the approximating function, f2(θ˜), in real time.
Pavement 3D Data Denoising Algorithm Based on Cell Meshing Ellipsoid Detection
Authors: Yan Chuang , Wei Ya , Xiao Yong , Wang Linbing
Published: March 2021

As a new measuring technique, laser 3D scanning technique has advantages of rapidity, safety, and accuracy. However, the measured result of laser scanning always contains some noise points due to the measuring principle and the scanning environment. These noise points will result in the precision loss during the 3D reconstruction. The commonly used denoising algorithms ignore the strong planarity feature of the pavement, and thus might mistakenly eliminate ground points. This study proposes an ellipsoid detection algorithm to emphasize the planarity feature of the pavement during the 3D scanned data denoising process. By counting neighbors within the ellipsoid neighborhood of each point, the threshold of each point can be calculated to distinguish if it is the ground point or the noise point. Meanwhile, to narrow down the detection space and to reduce the processing time, the proposed algorithm divides the cloud point into cells. The result proves that this denoising algorithm can identify and eliminate the scattered noise points and the foreign body noise points very well, providing precise data for later 3D reconstruction of the scanned pavement.
Body Temperature—Indoor Condition Monitor and Activity Recognition by MEMS Accelerometer Based on IoT-Alert System for People in Quarantine Due to COVID-19
Authors: Hoang Minh Long , Carratù Marco , Paciello Vincenzo , Pietrosanto Antonio
Published: March 2021

Coronavirus disease 19 (COVID-19) is a virus that spreads through contact with the respiratory droplets of infected persons, so quarantine is mandatory to break the infection chain. This paper proposes a wearable device with the Internet of Things (IoT) integration for real-time monitoring of body temperature the indoor condition via an alert system to the person in quarantine. The alert is transferred when the body thermal exceeds the allowed threshold temperature. Moreover, an algorithm Repetition Spikes Counter (RSC) based on an accelerometer is employed in the role of human activity recognition to realize whether the quarantined person is doing physical exercise or not, for auto-adjustment of threshold temperature. The real-time warning and stored data analysis support the family members/doctors in following and updating the quarantined people’s body temperature behavior in the tele-distance. The experiment includes an M5stickC wearable device, a Microelectromechanical system (MEMS) accelerometer, an infrared thermometer, and a digital temperature sensor equipped with the user’s wrist. The indoor temperature and humidity are measured to restrict the virus spread and supervise the room condition of the person in quarantine. The information is transferred to the cloud via Wi-Fi with Message Queue Telemetry Transport (MQTT) broker. The Bluetooth is integrated as an option for the data transfer from the self-isolated person to the electronic device of a family member in the case of Wi-Fi failed connection. The tested result was obtained from a student in quarantine for 14 days. The designed system successfully monitored the body temperature, exercise activity, and indoor condition of the quarantined person that handy during the Covid-19 pandemic.
Balancing Heterogeneous Image Quality for Improved Cross-Spectral Face Recognition
Authors: Cao Zhicheng , Cen Xi , Zhao Heng , Pang Liaojun
Published: March 2021

Matching infrared (IR) facial probes against a gallery of visible light faces remains a challenge, especially when combined with cross-distance due to deteriorated quality of the IR data. In this paper, we study the scenario where visible light faces are acquired at a short standoff, while IR faces are long-range data. To address the issue of quality imbalance between the heterogeneous imagery, we propose to compensate it by upgrading the lower-quality IR faces. Specifically, this is realized through cascaded face enhancement that combines an existing denoising algorithm (BM3D) with a new deep-learning-based deblurring model we propose (named SVDFace). Different IR bands, short-wave infrared (SWIR) and near-infrared (NIR), as well as different standoffs, are involved in the experiments. Results show that, in all cases, our proposed approach for quality balancing yields improved recognition performance, which is especially effective when involving SWIR images at a longer standoff. Our approach outperforms another easy and straightforward downgrading approach. The cascaded face enhancement structure is also shown to be beneficial and necessary. Finally, inspired by the singular value decomposition (SVD) theory, the proposed deblurring model of SVDFace is succinct, efficient and interpretable in structure. It is proven to be advantageous over traditional deblurring algorithms as well as state-of-the-art deep-learning-based deblurring algorithms.
A Weighted and Distributed Algorithm for Range-Based Multi-Hop Localization Using a Newton Method
Authors: Diaz-Roman Jose , Mederos Boris , Sifuentes Ernesto , Gonzalez-Landaeta Rafael , Cota-Ruiz Juan
Published: March 2021

Wireless sensor networks are used in many location-dependent applications. The location of sensor nodes is commonly carried out in a distributed way for energy saving and network robustness, where the handling of these characteristics is still a great challenge. It is very desirable that distributed algorithms invest as few iterations as possible with the highest accuracy on position estimates. This research proposes a range-based and robust localization method, derived from the Newton scheme, that can be applied over isotropic and anisotropic networks in presence of outliers in the pair-wise distance measurements. The algorithm minimizes the error of position estimates using a hop-weighted function and a scaling factor that allows a significant improvement on position estimates in only few iterations. Simulations demonstrate that our proposed algorithm outperforms other similar algorithms under anisotropic networks.
Automated Keratoconus Detection by 3D Corneal Images Reconstruction
Authors: Mahmoud Hanan A. Hosni , Mengash Hanan Abdullah
Published: March 2021

This paper presents a technique for the detection of keratoconus via the construction of a 3D eye images from 2D frontal and lateral eye images. Keratoconus is a disease that affects the cornea. Normal case eyes have a round-shaped cornea, while patients who suffer from keratoconus have a cone-shaped cornea. Early diagnosis can decrease the risk of eyesight loss. Our aim is to create a method of fully automated keratoconus detection using digital-camera frontal and lateral eye images. The presented technique accurately determines case severity. Geometric features are extracted from 2D images to estimate depth information used to build 3D images of the cornea. The proposed methodology is easy to implement and time-efficient. 2D images of the eyes (frontal and lateral) are used as input, and 3D images from which the curvature of the cornea can be detected are produced as output. Our method involves two main steps: feature extraction and depth calculation. Machine learning from the 3D images dataset Dataverse, specifically taken by the Cornea/Anterior Segment OCT SS-1000 (CASIA), was performed. Results show that the method diagnosed the four stages of keratoconus (severe, moderate, mild, and normal) with an accuracy of 97.8%, as compared to manual diagnosis done by medical experts.
DNet: Dynamic Neighborhood Feature Learning in Point Cloud
Authors: Tian Fujing , Jiang Zhidi , Jiang Gangyi
Published: March 2021

Neighborhood selection is very important for local region feature learning in point cloud learning networks. Different neighborhood selection schemes may lead to quite different results for point cloud processing tasks. The existing point cloud learning networks mainly adopt the approach of customizing the neighborhood, without considering whether the selected neighborhood is reasonable or not. To solve this problem, this paper proposes a new point cloud learning network, denoted as Dynamic neighborhood Network (DNet), to dynamically select the neighborhood and learn the features of each point. The proposed DNet has a multi-head structure which has two important modules: the Feature Enhancement Layer (FELayer) and the masking mechanism. The FELayer enhances the manifold features of the point cloud, while the masking mechanism is used to remove the neighborhood points with low contribution. The DNet can learn the manifold features and spatial geometric features of point cloud, and obtain the relationship between each point and its effective neighborhood points through the masking mechanism, so that the dynamic neighborhood features of each point can be obtained. Experimental results on three public datasets demonstrate that compared with the state-of-the-art learning networks, the proposed DNet shows better superiority and competitiveness in point cloud processing task.
Work–Family Articulation Policies in Portugal and Gender Equality: Advances and Challenges
Authors: Marques Susana Ramalho , Casaca Sara Falcão , Arcanjo Manuela
Published: March 2021

Portugal has been described as a singular case in terms of the participation of women in the labour market and work–life balance policies. Unlike the other so-called Southern European countries, where a belated and somewhat slower move away from the male breadwinner model has been found, Portugal stands out from the other EU member states with its relatively high rate of female employment and the prevalence of the dual-earner model based on continuous and fundamentally full-time employment. Moreover, the “early return to full-time work and a gender equality oriented model” calls for a separate analysis of this country’s case. In addition to providing a comprehensive overview of the singularities of Portugal’s employment patterns and work–family articulation policies, this article substantially adds to the existing literature by bringing new analytical angles to the debate. The intention is therefore to shed light on the political discourses that fuelled the policy debate throughout the three decades following Portugal’s transition to democracy, up until the latest and most decisive policy changes. This article also examines the key social actors’ views about the political process sustaining the development of policies in this area and identifies the major players promoting the most progressive legislative advances in the country.
Assessment of Motor Dysfunction with Virtual Reality in Patients Undergoing [123I]FP-CIT SPECT/CT Brain Imaging
Authors: Vu Jeanne P. , Yamin Ghiam , Reyes Zabrina , Shin Alex , Young Alexander , Litvan Irene , Xie Pengtao , Obrzut Sebastian
Published: March 2021

[123I]FP-CIT SPECT has been valuable for distinguishing Parkinson disease (PD) from essential tremor. However, its performance for quantitative assessment of motor dysfunction has not been established. A virtual reality (VR) application was developed and compared with [123I]FP-CIT SPECT/CT for detection of severity of motor dysfunction. Forty-four patients (21 males, 23 females, age 64.5 ± 12.4) with abnormal [123I]FP-CIT SPECT/CT underwent assessment of bradykinesia, activities of daily living, and tremor with VR. Support vector machines (SVM) machine learning models were applied to VR and SPECT data. Receiver operating characteristic (ROC) analysis demonstrated greater area under the curve (AUC) for VR (0.8418, 95% CI 0.6071–0.9617) compared with brain SPECT (0.5357, 95% CI 0.3373–0.7357, p = 0.029) for detection of motor dysfunction. Logistic regression identified VR as an independent predictor of motor dysfunction (Odds Ratio 326.4, SE 2.17, p = 0.008). SVM for prediction of the Unified Parkinson’s Disease Rating Scale Part III (UPDRS-III) demonstrated greater R-squared of 0.713 (p = 0.008) for VR, compared with 0.0764 (p = 0.361) for brain SPECT. This study demonstrates that VR can be safely used in patients prior to [123I]FP-CIT SPECT imaging and may improve prediction of motor dysfunction. This test has the potential to provide a simple, objective, quantitative analysis of motor symptoms in PD patients.
A Simple, Fast and Portable Method for Electrochemical Detection of Adenine Released by Ricin Enzymatic Activity
Authors: Oliveira George , Schneedorf José Maurício
Published: March 2021

International authorities classify ricin toxin present in castor seed as a potential agent for use in bioterrorism. Therefore, the detection, identification, and characterization of ricin in various sample matrices are considered necessary actions for risk assessment during a suspected exposure. This study reports a portable electrochemical assay for detecting active ricin based on the adenine electro-oxidation released from herring sperm DNA substrate by its catalytic action. Also, kinetic parameters were calculated, and the values were Km of 3.14 µM and Kcat 2107 min−1. A linear response was found in optimized experimental conditions for ricin concentrations ranging from 8 to 120 ng/mL, and with a detection limit of 5.14 ng/mL. This proposed detection strategy emphasizes the possibility of field detection of active ricin in food matrices and can be applied to other endonucleolytic activities.
Celecoxib in a Preclinical Model of Repetitive Mild Traumatic Brain Injury: Hippocampal Learning Deficits Persist with Inflammatory and Excitotoxic Neuroprotection
Authors: Hiskens Matthew , Vella Rebecca , Schneiders Anthony , Fenning Andrew
Published: March 2021

Repetitive mild traumatic brain injuries (mTBIs) contribute to inflammation-induced neurodegeneration. Cycloxygenase (COX) enzymes produce inflammatory cytokines that influence the microglia response to neurotrauma. Celecoxib is a selective COX-2 inhibitor that is prescribed in some conditions of mTBI to alleviate symptoms of concussion, and has shown benefits in neurodegenerative conditions. We investigated molecular pathways of neuroinflammation in response to celecoxib treatment in a mouse model of repetetive mTBI. Fifteen mTBIs were delivered over 23 days in adult male C57BL/6J mice in one of four groups (control, celecoxib without impact, celecoxib with impact, and vehicle with impact). Cognitive function was assessed at 48 h and three months following the final mTBI. Morris Water Maze testing revealed impaired hippocampal spatial learning performance in the celecoxib treatment with the impact group compared to the vehicle with impact control in the acute phase, with celecoxib treatment providing no improvement compared with the control at chronic testing; mRNA analysis of the cerebral cortex and hippocampus revealed expression change, indicating significant improvement in microglial activation, inflammation, excitotoxicity, and neurodegeneration at chronic measurement. These data suggest that, in the acute phase following injury, celecoxib protected against neuroinflammation, but exacerbated clinical cognitive disturbance. Moreover, while there was evidence of neuroprotective alleviation of mTBI pathophysiology at chronic measurement, there remained no change in clinical features.
Spontaneous Abortion and Chikungunya Infection: Pathological Findings
Authors: Salomão Natália , Brendolin Michelle , Rabelo Kíssila , Wakimoto Mayumi , de Filippis Ana Maria , dos Santos Flavia , Moreira Maria Elizabeth , Basílio-de-Oliveira Carlos Alberto , Avvad-Portari Elyzabeth , Paes Marciano , Brasil Patrícia
Published: March 2021

Intrauterine transmission of the Chikungunya virus (CHIKV) during early pregnancy has rarely been reported, although vertical transmission has been observed in newborns. Here, we report four cases of spontaneous abortion in women who became infected with CHIKV between the 11th and 17th weeks of pregnancy. Laboratorial confirmation of the infection was conducted by RT-PCR on a urine sample for one case, and the other three were by detection of IgM anti-CHIKV antibodies. Hematoxylin and eosin (H&E) staining and an electron microscopy assay allowed us to find histopathological, such as inflammatory infiltrate in the decidua and chorionic villi, as well as areas of calcification, edema and the deposition of fibrinoid material, and ultrastructural changes, such as mitochondria with fewer cristae and ruptured membranes, endoplasmic reticulum with dilated cisterns, dispersed chromatin in the nuclei and the presence of an apoptotic body in case 1. In addition, by immunohistochemistry (IHC), we found a positivity for the anti-CHIKV antibody in cells of the endometrial glands, decidual cells, syncytiotrophoblasts, cytotrophoblasts, Hofbauer cells and decidual macrophages. Electron microscopy also helped in identifying virus-like particles in the aborted material with a diameter of 40–50 nm, which was consistent with the size of CHIKV particles in the literature. Our findings in this study suggest early maternal fetal transmission, adding more evidence on the role of CHIKV in fetal death.
An Overview of Current Knowledge of Deadly CoVs and Their Interface with Innate Immunity
Authors: Zhang Yamei , Gargan Siobhan , Lu Yongxu , Stevenson Nigel J.
Published: March 2021

Coronaviruses are a large family of zoonotic RNA viruses, whose infection can lead to mild or lethal respiratory tract disease. Severe Acute Respiratory Syndrome-Coronavirus-1 (SARS-CoV-1) first emerged in Guangdong, China in 2002 and spread to 29 countries, infecting 8089 individuals and causing 774 deaths. In 2012, Middle East Respiratory Syndrome-Coronavirus (MERS-CoV) emerged in Saudi Arabia and has spread to 27 countries, with a mortality rate of ~34%. In 2019, SARS-CoV-2 emerged and has spread to 220 countries, infecting over 100,000,000 people and causing more than 2,000,000 deaths to date. These three human coronaviruses cause diseases of varying severity. Most people develop mild, common cold-like symptoms, while some develop acute respiratory distress syndrome (ARDS). The success of all viruses, including coronaviruses, relies on their evolved abilities to evade and modulate the host anti-viral and pro-inflammatory immune responses. However, we still do not fully understand the transmission, phylogeny, epidemiology, and pathogenesis of MERS-CoV and SARS-CoV-1 and -2. Despite the rapid application of a range of therapies for SARS-CoV-2, such as convalescent plasma, remdesivir, hydroxychloroquine and type I interferon, no fully effective treatment has been determined. Remarkably, COVID-19 vaccine research and development have produced several offerings that are now been administered worldwide. Here, we summarise an up-to-date understanding of epidemiology, immunomodulation and ongoing anti-viral and immunosuppressive treatment strategies. Indeed, understanding the interplay between coronaviruses and the anti-viral immune response is crucial to identifying novel targets for therapeutic intervention, which may even prove invaluable for the control of future emerging coronavirus.
B-Cell Memory Responses to Variant Viral Antigens
Authors: White Harry N
Published: March 2021

A central feature of vertebrate immune systems is the ability to form antigen-specific immune memory in response to microbial challenge and so provide protection against future infection. In conflict with this process is the ability that many viruses have to mutate their antigens to escape infection- or vaccine-induced antibody memory responses. Mutable viruses such as dengue virus, influenza virus and of course coronavirus have a major global health impact, exacerbated by this ability to evade immune responses through mutation. There have been several outstanding recent studies on B-cell memory that also shed light on the potential and limitations of antibody memory to protect against viral antigen variation, and so promise to inform new strategies for vaccine design. For the purposes of this review, the current understanding of the different memory B-cell (MBC) populations, and their potential to recognize mutant antigens, will be described prior to some examples from antibody responses against the highly mutable RNA based flaviviruses, influenza virus and SARS-CoV-2.
Ecological Risk Assessment and Contamination History of Heavy Metals in the Sediments of Chagan Lake, Northeast China
Authors: Liu Panfeng , Zheng Chaojie , Wen Meilan , Luo Xianrong , Wu Zhiqiang , Liu Yinghong , Chai Sheli , Huang Liangliang
Published: March 2021

The study deals with the spatio-temporal distribution of heavy metals in the sediments of Chagan lake, Northeast China. The pollution history of heavy metals is studied simultaneously through the 210Pb dating method by analyzing the characteristic of As, Hg, Cd, Cr, Ni, Cu, Pb, and Zn concentration-depth profiles. The potential ecological risk index (RI) and geo-accumulation index (Igeo) were used to evaluate the contamination degree. Principal component analysis (PCA), based on the logarithmic transformation and isometric log-ratio (ilr) transformed data, was applied with the aim of identifying the sources of heavy metals. The element concentrations show that the heavy metals are enriched in the surface sediment and sediment core with a varying degree, which is higher in the surficial residue. The results of Igeo indicate that the Cd and Hg in the surface sediment have reached a slightly contaminated level while other elements, uncontaminated. The results of RI show that the study area can be classified as an area with moderate ecological risk in which Cd and Hg mostly contribute to the overall risk. For the sediment core, the 210Pb dating results accurately reflect the sedimentary history over 153 years. From two evaluation indices (RI and Igeo) calculated by element concentration, there is no contamination, and the potential ecological risk is low during this period. The comparative study between raw and ilr transformed data shows that the closure effect of the raw data can be eliminated by ilr transformation. After that, the components obtained by robust principal component analysis (RPCA) are more representative than those obtained by PCA, both based on ilr transformed dataset, after eliminating the influence of outliers. Based on ilr transformed data with RPCA, three primary sources could be inferred: Cr, Ni, As, Zn, and Cu are mainly derived from natural sources; the main source of Cd and Hg are associated with agricultural activities and energy development; as for Pb, it originated from traffic and coal-burning activities, which is consistent with the fact that the development of tourism, fishery, and agriculture industries has led to the continuous increasing levels of anthropogenic Pb in Chagan Lake. The summarized results and conclusions will undoubtedly enhance the governmental awareness of heavy metal pollution and facilitate appropriate pollution control measures in Chagan Lake.
Development of the Indus River System Model to Evaluate Reservoir Sedimentation Impacts on Water Security in Pakistan
Authors: Podger Geoffrey M. , Ahmad Mobin-ud-Din , Yu Yingying , Stewart Joel P. , Shah Syed Muhammad Mehar Ali , Khero Zarif Iqbal
Published: March 2021

Pakistan’s society and economy are highly dependent on the surface and groundwater resources of the Indus River basin. This paper describes the development and implementation of a daily Indus River System Model (IRSM) for the Pakistan Indus Basin Irrigation System (IBIS) to examine the potential impact of reservoir sedimentation on provincial water security. The model considers both the physical and management characteristics of the system. The model’s performance in replicating provincial allocation ratios is within 0.1% on average and the modeling of water flow at barrages and delivered to irrigation canal commands is in agreement with recorded data (major barrage NSE 0.7). The average maximum volumetric error for the Tarbela and Mangla reservoirs are respectively 5.2% and 8.8% of mean annual inflow. The model showed that a 2.3 km3 reduction in storage volume since 1990 equates to approximately 1.3 km3 i.e., a 4–5% reduction in irrigation deliveries, respectively, for Punjab and Sindh in the dry (Rabi) season. This decline indicates that without further augmentation of system storage, the Rabi season supplies will continue to be further impacted in the future. This paper demonstrates the suitability of IRSM for exploring long term planning and operational rules and the associated impacts on water, food and energy security in Pakistan.
Flood Inundation Assessment in the Low-Lying River Basin Considering Extreme Rainfall Impacts and Topographic Vulnerability
Authors: Nguyen Thanh Thu , Nakatsugawa Makoto , Yamada Tomohito J. , Hoshino Tsuyoshi
Published: March 2021

This study aims to evaluate the change in flood inundation in the Chitose River basin (CRB), a tributary of the Ishikari River, considering the extreme rainfall impacts and topographic vulnerability. The changing impacts were assessed using a large-ensemble rainfall dataset with a high resolution of 5 km (d4PDF) as input data for the rainfall–runoff–inundation (RRI) model. Additionally, the prediction of time differences between the peak discharge in the Chitose River and peak water levels at the confluence point intersecting the Ishikari River were improved compared to the previous study. Results indicate that due to climatic changes, extreme river floods are expected to increase by 21–24% in the Ishikari River basin (IRB), while flood inundation is expected to be severe and higher in the CRB, with increases of 24.5, 46.5, and 13.8% for the inundation area, inundation volume, and peak inundation depth, respectively. Flood inundation is likely to occur in the CRB downstream area with a frequency of 90–100%. Additionally, the inundation duration is expected to increase by 5–10 h here. Moreover, the short time difference (0–10 h) is predicted to increase significantly in the CRB. This study provides useful information for policymakers to mitigate flood damage in vulnerable areas.
Unravelling Microbial Communities Associated with Different Light Non-Aqueous Phase Liquid Types Undergoing Natural Source Zone Depletion Processes at a Legacy Petroleum Site
Authors: Bruckberger Melanie , Gleeson Deirdre , Bastow Trevor , Morgan Matthew , Walsh Tom , Rayner John , Davis Greg , Puzon Geoffrey
Published: March 2021

Petroleum contaminants are exposed to weathering when released into environment, resulting in the alteration of their chemical composition. Here, we investigated microbial communities through the soil profile at an industrial site, which was exposed to various petroleum products for over 50 years. The petroleum is present as light non-aqueous phase liquid (LNAPL) and is undergoing natural source zone depletion (NSZD). Microbial community composition was compared to the contaminant type, concentration, and its depth of obtained soil cores. A large population of Archaea, particularly Methanomicrobia and Methanobacteria and indication of complex syntrophic relationships of methanogens, methanotrophs and bacteria were found in the contaminated cores. Different families were enriched across the LNAPL types. Results indicate methanogenic or anoxic conditions in the deeper and highly contaminated sections of the soil cores investigated. The contaminant was highly weathered, likely resulting in the formation of recalcitrant polar compounds. This research provides insight into the microorganisms fundamentally associated with LNAPL, throughout a soil depth profile above and below the water table, undergoing NSZD processes at a legacy petroleum site. It advances the potential for integration of microbial community effects on bioremediation and in response to physicochemical partitioning of LNAPL components from different petroleum types.
Onsite Chlorination of Greywater in a Vertical Flow Constructed Wetland—Significance of Trihalomethane Formation
Authors: Bernstein Anat , Siebner Hagar , Kaufman Andrew , Gross Amit
Published: March 2021

To reduce public health hazards, greywater reuse may involve disinfection, which is often performed through chlorination. The formation of toxic disinfection by-products is a negative side-effect of chlorine’s reaction with organic matter, of which trihalomethanes (THM) are one of the most dominant (though not most toxic) groups. Greywater treatment in vertical flow constructed wetlands leads to a decrease in dissolved organic matter. We hypothesized that these dissolved organic carbon (DOC) changes would be reflected in differences in THM formation. Greywater samples, at different treatment levels (i.e., decreasing organic matter content), were exposed to 5 mg/L of chlorine for 1 h. THM formation in raw greywater samples was significantly lower than in the more treated (recirculated) samples, despite their significantly higher DO concentrations. This trend was verified in six different systems. Furthermore, this was also shown when greywater was exposed to higher chlorine doses (25 and 50 mg/L). It is suggested that the increase in THM formation for longer recirculated water is the result of two factors: competition between a higher number of reactive sites in the raw water’s organic matter, which leads to smaller THM yields, and changes in the abundance of THM formation moieties in the recirculated water’s DOC. The latter was reflected in the SUVA increase in the treated water. Overall, THM formation, following treated greywater chlorination at the lower chlorine concentration studied, is not expected to pose an environmental health risk when the water is reused for irrigation.
The Utility of Dreissena polymorpha for Assessing the Viral Contamination of Rivers by Measuring the Accumulation of F-Specific RNA Bacteriophages
Authors: Capizzi-Banas Sandrine , Palos Ladeiro Mélissa , Bastien Fanny , Bonnard Isabelle , Boudaud Nicolas , Gantzer Christophe , Geffard Alain
Published: March 2021

River water that receives treated wastewater can be contaminated by pathogens including enteric viruses due to fecal pollution, which may represent an important public health hazard. There is a great diversity of enteric viruses and fecal bacteriophages, especially F-specific RNA bacteriophages (FRNAPHs), are commonly proposed as indicators of viral pollution due to a variety of characteristics such as their structural similarities to the main enteric viruses, their high concentrations in raw wastewater and their environmental survival rate, which is better than other cultivable enteric viruses. However, evaluating the viral contamination of water on the basis of FRNAPH concentration levels continues to present a challenge. This is because the quality of detection is strongly dependent on the quantity of viral particles, high spatio-temporal variabilities and the physico-chemical conditions of the water during sampling. To overcome these limitations, the present study aims to evaluate whether the bivalve mollusk Dreissena polymorpha (zebra mussel) could be considered a suitable experimental model for assessing the viral contamination of rivers. In order to determine this, the capacity of D. polymorpha to accumulate FRNAPHs and assimilate them into their soft tissue was studied. This provided a proof of concept for the use of D. polymorpha to evaluate the viral contamination of surface water. Two experiments were conducted: (1) an in situ experiment to confirm that zebra mussels naturally accumulated FRNAPHs and (2) a laboratory experiment to determine the accumulation and depuration kinetics of FRNAPHs in D. polymorpha tissue. The study highlights the capacity of the mussels to accumulate infectious FRNAPHs both on a laboratory scale under controlled conditions as well as in situ at different sites that are representative of different bodies of water. An analysis of the mussels’ soft tissue showed that they were capable of reflecting the water’s contamination level very quickly (within less than 24 h). Moreover, the soft tissue retained the viral load much longer than the water due to a low depuration rate. The analysis of FRNAPH concentrations in mussels exposed in situ suggested that there were differences in contamination levels between sites. These preliminary results underline the potential utility of zebra mussels in assessing viral contamination by measuring the accumulation of FRNAPHs in their tissue. This may ultimately enable stakeholders to use zebra mussels as a means of monitoring viral pollution in surface water.
Modification of the Water Quality Index (WQI) Process for Simple Calculation Using the Multi-Criteria Decision-Making (MCDM) Method: A Review
Authors: Akhtar Naseem , Ishak Muhammad Izzuddin Syakir , Ahmad Mardiana Idayu , Umar Khalid , Md Yusuff Mohamad Shaiful , Anees Mohd Talha , Qadir Abdul , Ali Almanasir Yazan Khalaf
Published: March 2021

Human activities continue to affect our water quality; it remains a major problem worldwide (particularly concerning freshwater and human consumption). A critical water quality index (WQI) method has been used to determine the overall water quality status of surface water and groundwater systems globally since the 1960s. WQI follows four steps: parameter selection, sub-indices, establishing weights, and final index aggregation, which are addressed in this review. However, the WQI method is a prolonged process and applied to specific water quality parameters, i.e., water consumption (particular area and time) and other purposes. Therefore, this review discusses the WQI method in simple steps, for water quality assessment, based on two multi-criteria decision-making (MCDM) methods: (1) analytical hierarchical process (AHP); and (2) measuring attractiveness by a categorically based evaluation technique (MACBETH). MCDM methods can facilitate easy calculations, with less effort and great accuracy. Moreover, the uncertainty and eclipsing problems are also discussed—a challenge at every step of WQI development, particularly for parameter selection and establishing weights. This review will help provide water management authorities with useful knowledge pertaining to water usage or modification of existing indicators globally, and contribute to future WQI planning and studies for drinking, irrigation, domestic, and industrial purposes.
Assessment of the formation of the social and labor situation in the Russian Federation: new challenges and threats to the stability of labor relations (based on the analytical Bulletin Of the center for monitoring and analysis of social and labor conflicts of the Saint Petersburg humanitarian University of trade unions)
Authors: Dovganenko Aleksandr
Published: March 2021

The article presents the state of Aff airs in the social and labor sphere, namely in the fi eld of social and labor confl icts, based on statistical data. The author presents trends and analyzes the causes of social and labor confl icts in industry and regional sections. The article contains a medium-term forecast of the formation and development of the social and labor situation in the Russian Federation for the fi rst half of 2020.
Problems of social security of labor migrants in the new social environment
Authors: Abdrasulova Nurlan , Abdyrahman kyzy Nargiza
Published: March 2021

Interest in studying migration processes is caused by the current situation in Kyrgyz society. The socio-economic crisis of the Kyrgyz society, which led to market relations, unemployment, and poverty, affected the needs of individuals and family members. Mobilization of the family's internal capabilities in the conditions of recession was aimed at survival, preference of material well-being to spiritual values, which led to the development of labor migration within the country and abroad. The lack of social protection of migrant workers leads to the state not accepting their employment, and this is fraught with consequences for the individual, family and society as a whole. The trend of development of labor migration obliges to develop an effective strategy of the state's migration policy and mechanisms for social security of labor migrants. Migration processes with effective state policy can become a resource for optimizing social and economic problems of society and have a positive impact on both the country of departure and the state of employment. If they are not, they can contribute to the development of socio-economic, demographic, criminal, inter-ethnic and other problems on both sides.
The kyrgyz name in the politics of nationalization
Authors: Chebi Isra
Published: March 2021

In this article, the name "Kyrgyz" is considered in the light of its etymological origin and historical fi nds. The goal is to show that the Kyrgyz name and identity Dating back centuries reveal the Kyrgyz nation.
Improving the effectiveness of state regulation of migration processes in Russia
Authors: Malik Elena , Shedij Maria
Published: March 2021

The authors of the article carried out a comprehensive analysis of the development of the migration sphere in modern Russia. The priorities of the implementation of the state migration policy, which continues its long, difficult path from formation to improvement and modernization, are identified. The results obtained made it possible to justify the need to increase the efficiency of state regulation of the migration sphere at the regional level, in particular in the Oryol region. Possible ways of increasing the effective management of national migration flows in Russia are given.
Assessment of social and economic development of the region in the territory marketing structure (on the materials of Oryol area)
Authors: Ustinovich Elena
Published: March 2021

This article presents the criteria for assessing the socio-economic development of the Oryol region on the basis of documents of a programmatic and strategic nature.
VIRTUAL SPACE: A SHIFT FROM THE SOMATIC TO THE SEMANTIC LEVEL OF DEFINITION OF THE ESSENCE
Authors: Yatsenko Olena
Published: March 2021

Virtual space significantly changes the usual notions of possibility and reality. It is logical that the constants of the physical world are to some extent imitated in virtual reality, because under other conditions it is difficult to imagine the effective orientation of human in such an environment. It is more appropriate to consider virtual space by analogy with the content of perceptual experience, which is the accidental context of a pure noematic act of consciousness.
Individual localities that spontaneously form certain wholes and communities are easily transformed into other configurations of interaction, forming a nomadic surface of intersubjectivity. This intersubjectivity is an indicative product of the globalization of the real society, as in cyberspace ethnic, cultural, personal determinations are leveled in favor of the gamified space of unlimited expression of will, sublimation of the unconscious and realization of affects. The avatecture of virtual space in a way utilizes the pragmatics of speech procedures.
THE VALUE OF HUMAN LIFE IN THE ENCYCLICAL ‘EVANGELIUM VITAE’ BY JOHN PAUL II
Authors: Laputko Anna
Published: March 2021

In the encyclical “Evangelium Vitae”, Pope John Paul II bases his message on the Scriptures, as is customary in formulating the doctrine or moral compendium of the Christian church. Jesus Christ, the mystery of the incarnation of the Logos, is the basis for understanding the value of human life from conception to natural death. The encyclical reveals attempts to reduce the value of life, which includes war, violence, abuse of bioethical aspects (abortion, euthanasia).