bluuebunny/crossref_metadata_2025_split huggingface dataset:
PPDMIT: A Lightweight Architecture for Privacy-Preserving Data Aggregation in the Internet of Things
Authors: gheisari mehdi 
Published: June 2022

Abstract
Data is generated over time by each device in the Internet of Things (IoT) ecosphere. Recent years have seen a resurgence in interest in the IoT due to its positive impact on society. However, due to the automatic management of IoT devices, the possibility of disclosing sensitive information without user consent is high. A situation in which information should not be unintentionally disclosed to outside parties we do not trust, i.e., privacy-preserving. Additionally, IoT devices should share their data with others to perform data aggregation and provide high-level services. There is a trade-off between the amount of data utility and the amount of disclosure of data. This trade-off has been caused a big challenge in this field. To improve this trafe-off efficiency rather than current studies, in this study, we propose a Privacy-Preserving Data Aggregation architecture, PPDMIT, that leverages homomorphic paillier encryption, K-means, a one-way hash chain, and the Chinese Remainder Theorem. We have found that the proposed privacy-preserving architecture achieves a more efficient data aggregation than current studies and improves privacy preservation by utilizing extensive simulations. Moreover, we found that our proposed architecture is highly applicable to IoT environments while preventing unauthorized data disclosure. Specifically, our solution depicted 8.096% improvement over LPDA and 6.508% over PPIOT.
Anatomical basis for the trigeminal autonomic cephalalgia-like response produced by 2 formalin injection into the facial cheek in rats
Authors: Wang Ming R. , Tseng Ching J. , Kuo Jon S. 
Published: June 2022

Abstract

Trigeminal autonomic cephalalgias (TACs) comprise cluster headaches and are characterized 19 by unilateral neuralgiform headache attacks associated with autonomic responses and somatic 2 20 responses. An animal model for evaluating the anatomical basis of the TAC-like response is 21 not currently available. Twenty-five rats weighing 550-650 g were anaesthetized with 22 urethane. The TAC-like response was produced either by subcutaneous injection of formalin 23 into the unilateral facial cheek or by electrical stimulation of the unilateral intact trigeminal 24 nerve. The induced TAC-like response, which included ipsilateral common carotid arterial 25 flow (iCCAF) and other autonomic responses, was studied in intact nerves or after cutting 26 either the ipsilateral trigeminal nerve or the ipsilateral facial nerve. The formalin injections 27 produced concentration-dependent iCCAF increases accompanied by ipsilateral autonomic 28 responses of rhinitis-like nasal congestion, nasal mucus, meiosis, lacrimation, red eye, and 29 eyelid oedema. The formalin (5% or 10%, 0.5 cc)-induced responses were nearly abolished 30 by sectioning of either the facial or trigeminal nerve. The electrical stimulation (15 V, 60 Hz, 31 and 0.4 ms) of the intact trigeminal nerve or its ophthalmo-maxillary branch also produced 32 stimulation strength-dependent iCCAF increases as well as autonomic responses; however, 33 the electrical stimulation-induced iCCAF increases and other autonomic responses could still 34 be induced by electrical stimulation of the central but not the peripheral end of the 35 ophthalmo-maxillary branch (n = 8) or the trigeminal nerve (n = 2). Thus, an animal model 36 for inducing the TAC-like response by subcutaneous formalin injection into the rat facial 37 cheek was established. The TAC-like response could be sequentially mediated via the 38 afferent trigeminal nerve, trigeminal nucleus, dorsal facial nucleus, and efferent facial nerve.
Decreased psychiatric symptomatology after the onset of COVID-19 pandemic: A longitudinal college mental health study from Turkey
Authors: ercandogan asli 
Published: June 2022

Abstract
Objective
COVID-19 pandemic brought significant challenges for college students. This study aimed to investigate changes in psychiatric symptomatology among them compared to the pre-pandemic period alongside their determinants.
Methods
Data were collected before and three months after the onset of the pandemic from 168 students who had applied to a college mental health center. Psychiatric symptomatology was assessed by Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Adult Attention Deficit Hyperactivity Disorder Self-Report Scale (ASRS). Possible vulnerability factors were screened by a survey on COVID-19-related health and social isolation status, Fear of COVID-19 Scale, Social Media Use Disorder Scale (SMDS), Distress Thermometer, Scoff Eating Questionnaire, and International Physical Activity Questionnaire Short-Form (IPAQ).
Results
PHQ-9, GAD-7 and ASRS scores significantly declined in the follow up. Even though the screen time increased, SMDS scores significantly declined. SMDS had a direct effect on PHQ-9 and ASRS levels, in addition to an indirect effect through Stress Thermometer. Higher SMDS scores predicted higher anxious and depressive symptomatology in repeated assessments. Fear of COVID-19 scores had a direct effect on GAD-7 scores only.
Conclusion
This study suggested that stress level and psychiatric symptomatology of the students decreased significantly in the early phases of the pandemic. Level of social media use disorder should be taken into account while following college students with mental health symptoms.
Single-nucleus RNA sequencing of the midbrain blood-brain barrier cells in schizophrenia reveals subtle transcriptional changes with overall preservation of cellular proportions and phenotypes
Authors: Puvogel Sofía , Alsema Astrid , Kracht Laura , Webster Maree , Weickert Cynthia , Sommer Iris , Eggen Bart 
Published: June 2022

Abstract
The midbrain is an important brain region for the study of schizophrenia in view of its reported dopamine pathophysiology and observed neuroimmune changes associated with schizophrenia. Besides the dopaminergic system, the midbrain contains other cell types that may be involved in schizophrenia pathophysiology. The neurovascular hypothesis of schizophrenia postulates that both the neurovasculature structure and the functioning of the blood-brain barrier (BBB) are compromised in schizophrenia. In the present study, potential alteration in the BBB of patients with schizophrenia was investigated by single-nucleus RNA sequencing of post-mortem midbrain tissue (14 schizophrenia cases and 15 matched controls). We did not identify changes in the relative abundance of the major BBB cell types, nor in the sub-populations, associated with schizophrenia. However, we identified 14 differentially expressed genes in the cells of the BBB in schizophrenia as compared to controls, including genes that have previously been related to schizophrenia, such as FOXP2 and PDE4D. These transcriptional changes associated with schizophrenia were limited to the ependymal cells and pericytes. This schizophrenia cohort was previously stratified into “high inflammation” and “low inflammation” cases, based on cortical inflammation-related transcripts. We detected a sub-population of protoplasmic astrocytes enriched in the high inflammation schizophrenia subgroup. Genes more abundantly expressed in these schizophrenia-related protoplasmic astrocytes were associated with glutamatergic synaptic function rather than with inflammation. In summary, transcriptional changes in the cells of the BBB in schizophrenia are limited and specific. In addition, inflammation may be affecting the function of astrocytes in a subgroup of schizophrenia patients, and thereby contribute to schizophrenia pathophysiology.
Digital inventory of agricultural land plots in the Kemerovo Region
Authors: Rada Artem , Kuznetsov Aleksandr 
Published: June 2022

Cadastral and geodetic land works are expensive, which makes aerial photography extremely valuable for land traceability and inventory. The present research objective was to develop a new digital survey technology for registration of agricultural lands. We assessed the accuracy of the new method and evaluated its decision support options. The study featured the case of the Kemerovo Region (Kuzbass), Russia.
The aerial survey took place in 2021 and involved 17 municipalities of the Kemerovo Region. The software and hardware complex included an unmanned aerial vehicle (UAV) and a module for aerial photography. Photogrammetric, cartometric, and satellite methods were used to define the coordinates of feature points. We developed new software (Sovhoz.avi) to perform the land inventory.
The photogrammetric and cartographic methods proved efficient in determining the feature points and boundaries of land plots. They also appeared accurate enough for land inventory and decision support. The study updated the available land inventory data. About 30% of all land plots were recorded incorrectly; some plots marked as agricultural appeared to belong to the local forest reserves or urban territories. Incorrect data (1.64%) were excluded from the official inventory. The survey covered a total area of 41 000 ha and revealed 1700 illegally used land plots. The updated inventory of unused lands included 3825 new plots (163 400 ha), which can attract prospective investors.
The results can be used by the local authorities to make land management decisions and identify illegal land use.
A hybrid artificial intelligence and semi-distributed model for runoff prediction
Authors: Narayana Reddy Beeram Satya , Pramada S. K. 
Published: June 2022

Abstract
Hydrological simulations perform a vital role in river discharge forecasts, which is very essential in water resources engineering. The present study has been carried out using a semi-distributed model developed using HEC-HMS, an artificial neural network (ANN), and a hybrid model (HEC-HMS-ANN) for simulation of daily discharge in the Kallada River basin, Kerala, India. The HEC-HMS model did not perform well with the available dataset. So for simulating daily runoff, a hybrid model is developed by coupling HEC–HMS output with ANN. The model prediction accuracy is assessed using statistical metrics. Precipitation, lagged precipitation, and lagged discharge were used as input variables for the ANN model. The optimal number of lags was determined using partial autocorrelation. The hybrid model integrating the output from HEC-HMS into ANN shows better performance than the other models in simulating daily discharge and estimating the accuracy of yearly peak discharge. The accuracy evaluation of yearly peak discharge values demonstrates that simulation error is reduced by 66% and 26.5% in the hybrid model compared to the HEC-HMS and ANN models, respectively.
Prognostic Significance of Risk Factors and Biomarkers in Patients
Hospitalized for Cardiorenal Syndromes: A Pilot Study
Authors: Theofilis Panagiotis , Vordoni Aikaterini , Nakas Nikos , Kotsakis Athanasios , Kranidis Athanasios , Makryniotou Ioanna , Kalaitzidis Rigas G. 
Published: June 2022

Background:
Cardiorenal syndromes (CRS), involving the heart-kidney cross-talk and the activation of neurohumoral and inflammatory pathways, is an entity characterized by high morbidity and mortality.

Objective:
To evaluate the prognostic role of risk factors and biomarkers in patients hospitalized for CRS.

Methods:
In this observational cohort study, 100 consecutive patients hospitalized for CRS were enrolled. Socio-demographic characteristics, personal medical history, and prior medication use were recorded upon admission, and echocardiography was performed. Moreover, an array of blood markers were measured. The endpoint of interest was a composite of death or dialysis dependence at discharge.

Results:
Patients were classified into two groups; Group 1 (N=52): discharged being dialysis-independent, Group 2 (N=48): death/dialysis dependence at discharge. No significant differences were detected in baseline characteristics between the two groups. Group 2 patients used renin-angiotensin-aldosterone system blockers (RAASb) less often and more frequently presented with oliguria/anuria. Group 2 patients had significantly lower hemoglobin, serum albumin, and 25-hydroxy-vitamin D [25(OH)D]. At the same time, serum phosphate, potassium, and parathyroid hormone (PTH) were significantly higher in Group 2 patients. In a multivariate regression analysis, lack of prior RAASb and lower 25(OH)D levels were independently associated with an increased risk of death or dialysis dependence at discharge. 25(OH)D/PTH ratio was the most accurate predictor of the composite endpoint (Sensitivity: 79.4%, Specificity: 70.4%).

Conclusion:
Lack of prior RAASb use, high PTH, low 25(OH)D levels, and low 25(OH)D/PTH ratio are associated with a poor prognosis in patients hospitalized for CRS.
Attacking the SARS-CoV-2 Replication Machinery with the Pathogen
Box’s Molecules
Authors: Osorio-Mogollón Cleidy , Olivos-Ramírez Gustavo E. , Otazu Kewin , Chenet-Zuta Manuel E. , Ropón-Palacios Georcki , das Dores Aguiar Cinthia , Camps Ihosvany , Jimenez-Avalos Gabriel M. , Apari-Cossio Eduardo , Torres Moreira Natalia E. , Cárdenas-Cárdenas Reyna G. 
Published: June 2022

Introduction:
The world is currently facing a pandemic caused by the new coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus. Viral transcription and replication are within the fundamental processes of any virus. They allow the synthesis of genetic material and the consequent multiplication of the virus to infect other cells or organisms.

Methods:
The most important protein in SARS-CoV-2 is the RNA polymerase (RdRp or nsp12), responsible for both processes. The structure of this protein (PDB ID: 6M71) was used as a target in the application of computational strategies for drug search, like virtual screening and molecular docking. Here, Pathogen Box database of chemical compounds was used together with Remdesivir, Beclabuvir, and Sofosbuvir drugs as potential inhibitors of nsp12.

Results:
The results showed a Top10 potential target inhibitor, with binding energy (∆G) higher than those of the positive controls, of which TCMDC-134153 and TCMDC-135052, both with ∆G = −7.53 kcal/mol, present interactions with three important residues of the nsp12 catalytic site.

Conclusion:
These proposed ligands would be used for subsequent validation by molecular dynamics, where they can be considered as drugs for the development of effective treatments against this new pandemic.
Retinal Tissue Engineering: Regenerative and Drug Delivery Approaches
Authors: Aghmiuni Azadeh Izadyari , Keshel Saeed Heidari , Rahmani Ali , Nadri Samad , Sefat Farshid , Lashay Alireza 
Published: June 2022

Absatract:
In recent decades, the improvement of photoreceptor/ cell transplantation has been used as an effective therapeutic approach to treat retinal degenerative diseases. In this reviwe, the effect of different factors on the differentiation process and stem cells toward photoreceptors along with cell viability, morphology, migration, adhesion, proliferation, and differentiation efficiency was discussed. It is no wonder that scientists are researching to better recognize the reasons for retinal degeneration, as well as discovering novel therapeutic methods to restore lost vision. In this field, several procedures and treatments in the implantation of stem cells-derived retinal cells have explored with some example of clinical trials. Although these clinical trials are too small to draw stable decisions about whether stem-cell therapies can offer a cure for retinal diseases. However, the future research directions have started for patients affected by retinal degeneration and promising findings have been obtained.
Impact of Nanoclays on Polyvinylidene Fluoride Mixed Matrix Membranes
for the Efficient Treatment of Oily Wastewater
Authors: Yogarathinam Lukka Thuyavan , Ismail Ahmad Fauzi , Arthanareeswaran G. , Azali Mohd Ariff Bin , Ramli Mohd Khairul Naim Bin , Rushdan Ashraf 
Published: June 2022

Background:
Membrane technology demonstrated a sustainable methodology for water reclamation from oily-wastewater, but it is prone to fouling during longer filtration runs. In this study, fouling resistant polyvinylidene fluoride (PVDF) mixed matrix membranes (MMMs) containing nanoclays such as halloysite (HT) and montmorillonite (MMT) were fabricated for the effective treatment of oily wastewater.

Methods:
Phase inversion technique was followed for the fabrication of HT-PVDF and MMT-PVDF MMMs. Physiochemical characterization and filtration experiments were studied to evaluate the influence of nanoclays on PVDF membrane performance.

Results:
Fourier transform infrared spectroscopy (FTIR) and morphology analyses indicated that both nanoclays are layered structured with abundant hydrophilic functional groups. The dispersions of HT and MMT were confirmed by surface morphology and topography analysis of PVDF MMMs. The hydrophilicity property was improved in HT-PVDF and MMT-PVDF MMMs, which was evident in the contact angle analysis. Among the membranes, MMT-PVDF MMMs held the higher water permeability of 2.59 x10-8 m/s.kPa. For oil-water filtration, HT-PVDF and MMT-PVDF MMMs displayed higher normalized flux with maximum rejection of more than 95%.

Conclusion:
Overall, MMT would be cost-effective nanofiller for the development of antifouling PVDF MMMs against oil-water filtration.
Novel Herbal Nanocarriers for Treatment of Dermatological Disorders
Authors: Shree Dipthi , Patra Chinam Niranjan , Sahoo Biswa Mohan 
Published: June 2022

Background and Objective:
In the present scenario, the use of novel nanocarriers to provide
a better therapy regimen is noteworthy. Nanotechnology with the advanced system enables the
herbs for encapsulation within the smart carrier and boosts the nanotherapeutic. These emerging innovations
of herbal nanocarriers have paved the way for dermal targeting by eliciting the desired response
for particular diseases.

Method:
In this current manuscript, an extensive search is conducted for the original research papers
using databases, viz., Google Scholar, PubMed, Science Direct, etc. Furthermore, painstaking efforts
are made to compile and update the novel herbal nanocarriers, such as liposomes, ethosomes, transferosomes,
niosomes, nanoemulsions, nanogels, nanostructured lipid carriers, solid lipid carriers, etc.,
which are mostly used for the treatment of several skin maladies, viz., eczema, psoriasis, acne, etc.
This article highlights the recent findings that the innovators are exclusively working on herbal drug
delivery systems for dermal targeting, and these are enumerated in the form of tables.

Conclusion:
Herbal formulations employing a suitable nanocarrier could be a promising approach for
the treatment of several pathological conditions, including skin ailments. Therefore, scientific research
is still being carried out in this specific area for a better perspective in herbal drug delivery and targeting.
Post-Coronavirus Disease Mucormycosis: Predisposing Factors and
Possible Treatment: A Narrative Review
Authors: Garg Vandana , Sinhmar Sonali , Malhotra Hitesh , Dutt Rohit 
Published: June 2022

Absract:
Mucormycosis, commonly known as black fungus, is a life-threatening fungal infection belonging to the order Mucorales. It affects individuals having an impaired immune response or immune disorders such as diabetes mellitus, induced immunosuppression, hematological cancers, acquired immune deficiency syndrome, or who have gone through organ transplantation. Black fungus had symptoms like difficulty in breathing, blurred vision, coughing out blood, chest pain, blackening over the area of the nose. Tissue necrosis is the main symptom of this infection. It was increasing day by day and seen in vulnerable patients, including patients which were suffering from COVID 19 (coronavirus) and who were recovered. As we had seen that black fungus cases were rising in recovered COVID patients, various cases of white and yellow fungus were also reported.The treatment approach includes the use of antifungal agents, triazoles, surgery, combination therapy, etc. This review describes the clinical manifestation, predisposing factors, and treatment strategy of mucormycosis.
Using Shopping Data to Improve the Diagnosis of Ovarian Cancer: Computational Analysis of a Web-Based Survey
Authors: Dolan Elizabeth H , Goulding James , Tata Laila J , Lang Alexandra R 
Published: June 2022

Background
Shopping data can be analyzed using machine learning techniques to study population health. It is unknown if the use of such methods can successfully investigate prediagnosis purchases linked to self-medication of symptoms of ovarian cancer.

Objective
The aims of this study were to gain new domain knowledge from women’s experiences, understand how women’s shopping behavior relates to their pathway to the diagnosis of ovarian cancer, and inform research on computational analysis of shopping data for population health.

Methods
A web-based survey on individuals’ shopping patterns prior to an ovarian cancer diagnosis was analyzed to identify key knowledge about health care purchases. Logistic regression and random forest models were employed to statistically examine how products linked to potential symptoms related to presentation to health care and timing of diagnosis.

Results
Of the 101 women surveyed with ovarian cancer, 58.4% (59/101) bought nonprescription health care products for up to more than a year prior to diagnosis, including pain relief and abdominal products. General practitioner advice was the primary reason for the purchases (23/59, 39%), with 51% (30/59) occurring due to a participant’s doctor believing their health problems were due to a condition other than ovarian cancer. Associations were shown between purchases made because a participant’s doctor believing their health problems were due to a condition other than ovarian cancer and the following variables: health problems for longer than a year prior to diagnosis (odds ratio [OR] 7.33, 95% CI 1.58-33.97), buying health care products for more than 6 months to a year (OR 3.82, 95% CI 1.04-13.98) or for more than a year (OR 7.64, 95% CI 1.38-42.33), and the number of health care product types purchased (OR 1.54, 95% CI 1.13-2.11). Purchasing patterns are shown to be potentially predictive of a participant’s doctor thinking their health problems were due to some condition other than ovarian cancer, with nested cross-validation of random forest classification models achieving an overall in-sample accuracy score of 89.1% and an out-of-sample score of 70.1%.

Conclusions
Women in the survey were 7 times more likely to have had a duration of more than a year of health problems prior to a diagnosis of ovarian cancer if they were self-medicating based on advice from a doctor rather than having made the decision to self-medicate independently. Predictive modelling indicates that women in such situations, who are self-medicating because their doctor believes their health problems may be due to a condition other than ovarian cancer, exhibit distinct shopping behaviors that may be identifiable within purchasing data. Through exploratory research combining women sharing their behaviors prior to diagnosis and computational analysis of these data, this study demonstrates that women’s shopping data could potentially be useful for early ovarian cancer detection.