bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photocatalytic Performance of a Novel Sr-Ce-TiO2/HAp for Degradation of Methylene Blue Dye in the Presence of Visible Light
Authors: Esmaeilzadeh Alireza , Heshmatpour Felora 
Published: September 2021

Abstract
In this study, Sr-Ce-TiO2/HAp as a novel and efficient nanocomposite was synthesized and characterized by Fourier transform infrared spectroscopy (FTIR), energy dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), scanning electron microscopy (SEM), and surface area determination of porous using the Brunauer–Emmett–Teller (BET) method and degradation of methylene blue under visible radiation was investigated. Evaluations showed that doped with metal cations and the presence of hydroxyapatite reduced energy gap, increased surface area, increased adsorption and decreased electron-hole recombination. The results also showed that more than 92% of methylene blue was removed within 100 min. The pseudo-first order reaction synthetic was obtained.
Building functional network neuroscience for reliable individual differences
Authors: Jiang Chao , Betzel Richard , He Ye , Wang Yin-Shan , Xing Xiu-Xia , Zuo Xi-Nian 
Published: September 2021

Abstract
A rapidly emerging application of network neuroscience in neuroimaging studies has provided useful tools to understand individual differences in complex brain function, i.e., the functional network neuroscience (FNN). However, the variability of methodologies applied across FNN studies - with respect to node definition, edge construction, and graph measurements- makes it difficult to directly compare findings and also challenging for end users to select the optimal strategies for mapping individual differences in brain networks. Here, we aim to provide a benchmark for best FNN practices by systematically comparing the measurement reliability of individual differences in FNN under different analytical strategies using the test-retest design of the Human Connectome Project. The results uncovered four essential principles to guide reliable FNN: 1) use a whole brain parcellation to define network nodes, including subcortical and cerebellar regions, 2) construct functional connectome using spontaneous brain activity in multiple slow bands, 3) optimize topological economy of networks at individual level, 4) characterise information flow with specific metrics of integration and segregation. We built an interactive online resource for reliable FNN (http://ibraindata.com/research/reliableFNN).
Challenges and Opportunities of Private Investment, Case of South Wollo Zone
Authors: ADO ABIYOT ALEMU , H. mulken 
Published: September 2021

Abstract
This paper was designed to analyze the challenges and opportunities of private investment in South Wollo zone manufacturing firms perspectives. The paper contains five parts; part one about the introduction section comprising of background of the study, problem statement, objectives, significance, and scope of the study, part two empirical and theoretical literature, part three the research methodology, part four the analysis of data, and part five summary of major findings, conclusion, and recommendation. Both primary and secondary data was utilized for the accomplishment of the intended objectives. The secondary data focused on the macro economic factors those are perceived to affect the smooth functioning of private investment and show the future potential of the private investment section. The totals of 34 manufacturing firms are surveyed in the paper using census method. In the time series data 10 years data was utilized and the investment distribution by sector and by region was also analyzed. The findings of the study showed that the distribution of investment both by sector and region was not fair enough. The macro economic factors can determine the growth of the private investment including the expansion of public investment. According to the findings in this paper distribution of investment by region was dominated by Addis Ababa (69.7%), Oromia, Amhara, Dire dawa, and SNNP regions took the 2nd, 3rd, 4th, and the 5th ranks. The distribution by sector showed that rent, real estate, and business activities takes the highest investment with about 61.3% and Hotel and restaurant takes the lowest portion of investment with about 3% and the manufacturing sector takes the second rank with not more than 14.3% but in terms of approved project capitals the manufacturing takes the largest portion with about 31.6%. Lack of demand, getting credit, higher level of interest, infrastructure are among the major obstacles for private investment. Moreover the uncertainty variables can highly affect the investment sector. Demand uncertainty, interest rate uncertainty, and foreign exchange rate uncertainty variables are the major factors those affect the private investment sector. Macro-economic variables and the expansion of public investment affect the expansion of the private investment as the finding showed in this paper.
Attitudes, Perceptions, and Experiences of Side Effects of COVID-19 Vaccines in Malaysia: Do Age, Gender and Vaccine Type Matter?
Authors: Elnaem Mohamed Hassan , Taufik Nor Hidayah Mohd , Rahman Norny Syafinaz Ab , Nazar Nor Ilyani Mohd , Zin Che Suraya , Nuffer Wesley , Turner Christopher John 
Published: September 2021

Abstract
Background: Vaccination programs are crucial in global efforts to control the COVID-19 pandemic. Little has been reported regarding the attitudes and experiences of participants in the ongoing Malaysian vaccination program. Therefore, this study aimed to investigate the attitudes, perceptions, and experiences of side effects with the COVID-19 vaccines in Malaysia. Methods: This study was a cross-sectional survey conducted among vaccine-eligible and vaccinated individuals in Malaysia between May and July 2021. A self-administered 27-item questionnaire was developed and validated before distributing it through an online medium. Descriptive and inferential statistics were performed using SPSS version 22.Results: A total of 428 respondents completed the survey. More than half of the respondents (71.1%) were 18 to 45 years old, and 66.4% were females. A vast majority (98.6%) of the respondents had registered for the National COVID-19 Vaccination Program. A total of 20 participants (4.7%) expressed their concerns about either registering or receiving the COVID-19 vaccination, and the most reported concern was the uncertainty of vaccine safety. Among the study population, 332 participants (77.5%) received their vaccinations. About 50% received the Pfizer-BioNTech (Cominarty®) vaccine. A majority (76.8%) of the respondents experienced side effects following vaccination. Approximately 40% of the reported side effects occurred more with the second dose, particularly in those who received the Pfizer-BioNTech vaccine (p < .0005). Pain at the injection site (61.1%) and tiredness (48.8%) were the most commonly reported side effects. Those who received Sinovac (CoronaVac®) vaccine were more likely to report fewer side effects than Pfizer-BioNTech (p = .012) and Oxford-AstraZeneca (ChAdOx1-S) groups (p = .001). The logistic regression showed that all age groups, except those aged ≥ 60 years, were more likely to exhibit vaccine-related side effects. Male participants (OR: 0.51, CI:0.27-0.93) and those who received the Sinovac (CoronaVac®) vaccine (OR: 0.08, CI:0.03-0.22) were at lower risk of experiencing vaccine-related side effects.Conclusions: the overall attitudes toward the national vaccination program were positive, with a vast majority registered to be vaccinated. Several differences in the experiences of vaccine-related side effects in terms of prevalence and number were attributed to age, gender, and received vaccine type.
Re-emergence of dry toilets and fecal nutrient reuse in M'zab cities
Authors: Bekaddour Sara , Ait-Mouheb Nassim , Hartani Tarik 
Published: September 2021

Abstract
In the M'zab valley, dry toilets represent an ancestral dry sanitation system, serving as a source of fertilizer thanks to human excrement valorization. However, in the 20th century, local populations began to shun these systems. The objective of this article is to illustrate the importance of dry toilets on agricultural and environmental scales in ancient M'Zab, and the renewal of these systems in response to sanitation problems in the oasis after their decline. The hypothesis put forward is that dry toilets can act as a complementary system to conventional sanitation systems. Data were collected through interviews with the local population. Our results show that the use of dry toilets, and the resulting use of human excrement as fertilizer, has gone through three phases. First, a phase of strong recycling dynamics, followed by a second phase of decline in dry toilet use which is linked to the discovery of the Albian aquifer and flush toilet adoption. The third phase is characterized by dry toilet reuse in response to oasis degradation caused by sanitation and environmental problems. Some oasesians have taken the initiative to revert to dry toilets to ensure oasis system sustainability and to revive the practice of recycling human waste.
Prediction of land surface temperature of major coastal cities of India using bidirectional LSTM neural networks
Authors: Maddu Rajesh , Vanga Abhishek Reddy , Sajja Jashwanth Kumar , Basha Ghouse , Shaik Rehana 
Published: September 2021

Abstract
Surface Temperature (ST) is important in terms of surface energy and terrestrial water balances affecting urban ecosystems. In this study, to process the nonlinear changes of climatological variables by leveraging the distinct advantages of Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (BiLSTM), we propose an LSTM-BiLSTM hybrid deep learning model which extracts multi-dimension features of inputs, i.e., backward (future to past) or forward (past to future) to predict ST. This study assessed the climatological variables, i.e., wind speed, wind direction, relative humidity, dew point temperature, and atmospheric pressure impact on ST using five major coastal cities of India: Chennai, Mangalore, Visakhapatnam, Cuddalore, and Cochin. The Recurrent Neural Networks (RNN) and hybrid LSTM-BiLSTM models have effectively predicted ST and outperformed the standalone Artificial Neural Networks (ANN), LSTM, and BiLSTM models. The RNN and LSTM-BiLSTM models have performed better in predicting ST for Mangalore (Nash-Sutcliffe efficiency (NSE)=0.91), followed by Cochin (NSE=0.89), Chennai (NSE=0.88), Cuddalore (NSE=0.88), and Vishakhapatnam (NSE=0.81). The hybrid data-driven modeling framework indicated that coupling the LSTM and BiLSTM models was proven effective in predicting the ST of coastal cities.
Experimental study on phosphate rock modified soil-bentonite as a cut-off wall material
Authors: Li Yuheng , Zeng Xing , Lin Zhi , Su Jia , Gao Tong , Deng Renjian , Liu Xi 
Published: September 2021

Abstract
Phosphate rock has great potential value in the application of cut-off walls for heavy metal contaminated sites. The effects of initial concentration of Pb2+, contact time, temperature and pH on the adsorption performance of phosphate rock modified soil-bentonite (PSB) were analyzed by Batch tests, and the microstructure and physicochemical properties of the adsorbent were characterized and analyzed by scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR). The results showed that the incorporation of phosphate rock improves the adsorption performance of the mixed material for Pb2+ in an acidic environment, and the maximum adsorption amount of PSB can be 154% greater than that of soil-bentonite (SB). Kinetic analysis showed that intraparticle diffusion and liquid film diffusion both participate in control of the adsorption process, and the Langmuir model fitted the isothermal adsorption data better. The adsorption process of PSB to Pb2+ is an exothermic reaction process, and a low temperature environment is beneficial to the adsorption of Pb2+. Studies on the microscopic mechanism show that PO43− reacts with Pb2+ in solution to form phosphate precipitation, and –OH and PO43− are on the surface or interlayer of the adsorbent participate in the adsorption process of Pb2+.
Microscopically analyzed interface behavior characteristics of acid precipitation on asphalt surface
Authors: Yu Tengjiang , Zhou Lan , Zhang Haitao , Wang Haomin , Chen Dan 
Published: September 2021

Abstract
It is generally believed that the interaction between acid precipitation and asphalt has an effect on the performance of drainage asphalt pavement, but studies on the interface behavior characteristics from microscopic analysis are rare. Therefore, molecular dynamics (MD) was used to simulate the interfacial transition zone of precipitation (neutral and acid) and asphalt in the study, and the interfacial behavior characteristics of precipitation on asphalt surface were microscopically analyzed. Additionally, the composition of acid precipitation was configured in the laboratory, and the contact angles of precipitation solutions (SO42− and NO3−) on asphalt surface also verified the interface behavior characteristics between acid precipitation and asphalt. The results showed that the interaction of acid precipitation and asphalt is stronger than that of neutral precipitation, which makes it more difficult to remove from the surface of drainage asphalt pavement. With the increase of service temperature for drainage asphalt pavement, the interaction energy increases. Under the coupling effect of acid precipitation and low service temperature, water damage to the drainage asphalt pavement is more easily induced. The results revealed the micro-effect of acid precipitation and service temperature on drainage efficiency of an asphalt surface, which has certain theoretical significance and practical value for the application and exploration of drainage asphalt pavement.
Evaluation of Electromyogram Signals in the Control of Prosthetic Limb: A Review
Authors: Sharma Tanu , Sharma Krishna Pal , Veer Karan 
Published: September 2021

:
Electromyogram (EMG) signals are produced by the human body and are used in prosthetic
design due to their significant functionality with human biomechanics. Engineers are capable
of developing a variety of prosthetic limbs with the advancement of technology in the domain
of biomedical signal processing, as limb amputees can restore their lives with the help of prosthetic
limbs. This current review aimed at determining the signals that are used to monitor the device,
explaining the various steps and techniques involved (such as data acquisition, feature vector conversion
after noise, and redundant data removal), and reviewing previously developed electromyogram-
based prosthetic controls. Furthermore, this study also focuses on a variety of electromyogram-
controlled applications.
A Clinical Perspective of Soluble Epoxide Hydrolase Inhibitors in
Metabolic and Related Cardiovascular Diseases
Authors: Verma Kanika , Jain Smita , Paliwal Swati , Paliwal Sarvesh , Sharma Swapnil 
Published: September 2021

Abstract:
Epoxide hydrolase (EH) is a crucial enzyme responsible for catabolism, detoxification,
and regulation of signaling molecules in various organisms including human beings. In mammals,
EHs are classified according to their DNA sequence, sub-cellular location, and activity into eight
major classes: soluble EH (sEH), microsomal EH (mEH), leukotriene A4 hydrolase (LTA4H),
cholesterol EH (ChEH), hepoxilin EH, paternally expressed gene 1 (peg1/MEST), EH3, and EH4.
The sEH, an α/β-hydrolase fold family enzyme, is an emerging pharmacological target in multiple
diseases namely, cardiovascular disease, neurodegenerative disease, chronic pain, fibrosis, diabetes,
pulmonary diseases, and immunological disease. It exhibits prominent physiological effects
including anti-inflammatory, anti-migratory, and vasodilatory effects. Its efficacy has been documented
in various clinical trials and observational studies. This review specifically highlights the
development of soluble epoxide hydrolase inhibitors (sEHIs) in the clinical setting for the management
of metabolic syndrome and related disorders, such as cardiovascular effects, endothelial dysfunction,
arterial disease, hypertension, diabetes, obesity, heart failure, and dyslipidemia. In addition,
limitations and future aspects of sEHIs have also been highlighted which will help the investigators
to bring the sEHI to the clinics.
Chemical Constituents, Ethnomedicinal Uses, Pharmacology, and Toxicity of Dysphania Ambrosioides (L.) Mosyakin & Clemants, Formerly Chenopodium Ambrosioides L.
Authors: Kamdem Boniface Pone , Le Doux Kamto Eutrophe , Paumo Hugues Kamdem , Katata-Seru Lebogang Maureen , Pegnyemb Dieudonné Emmanuel , Igne Ferreira Elizabeth 
Published: September 2021

Background:Dysphania ambrosioides (L.) Mosyakin & Clemants is an aromatic herb native to South America but also distributed widely throughout Africa and Europe. This plant is traditionally used to treat various ailments including pain and swellings, flu, parasitic diseases and is used as an analgesic, antipyretic, and wound healing. Phytochemical analyses of D. ambrosioides revealed the presence of terpenoids, flavonoids, coumarins, fatty acids, and miscellaneous compounds, among others, which might be responsible for its modern pharmacological actions.Objective:The present work summarizes recent developments on phytochemistry, ethnomedicinal use, pharmacology, and toxicity of D. ambrosioides. A critical assessment of the literature information of D. ambrosioides is also presented.Methods:The available information on D. ambrosioides was collected through libraries and electronic databases [Scifinder, ACS, Scielo, Science direct, Pubmed (National Library of Medicine), Wiley, Springer, PROTA, Web of Science, Google Web, Yahoo search and Google scholar] from respective inception until January 2021.Results:More than 150 compounds, including terpenoids, flavonoids, coumarins, fatty acids, and miscellaneous compounds, etc., were identified from D. ambrosioides. D. ambrosioides exhibited a wide range of pharmacological activities, including antimalarial, anti-inflammatory, antiparasitic, anticancer, insecticidal, antigiardial, among others. Metal nanoparticles synthesized from D. ambrosioides extracts presented enhanced pharmacological activities as compared to the crude plant extracts counterparts.Conclusion:D. ambrosioides is a promising medicinal plant, however, more in vivo experiments, cytotoxicity tests, and mechanisms of actions of its extracts and compounds are recommended to transubstantiate the ethnomedicinal claims of this plant into scientific rationale-based information.
Roles of Psychosocial Factors on the Association Between Online Social Networking Use Intensity and Depressive Symptoms Among Adolescents: Prospective Cohort Study
Authors: Li Ji-Bin , Feng Li-Fen , Wu Anise M S , Mai Jin-Chen , Chen Yu-Xia , Mo Phoenix K H , Lau Joseph T F 
Published: September 2021

Background
The potential mechanisms underlying the association between online social networking use intensity and depressive symptoms are unclear and underresearched.

Objective
We aimed to investigate the potential roles of interpersonal psychosocial factors on the association between online social networking use intensity and depressive symptoms among early adolescents.

Methods
A total of 4237 adolescents from a 9-month longitudinal study were included. Score changes (indicated as △) for the social function use intensity (SFUI) and entertainment function use intensity (EFUI) subscales of the Online Social Networking Activity Intensity Scale and for friendship quality, perceived family support, perceived friend support, parent–adolescent conflict, social nonconfidence, and depressive symptoms were analyzed. The potential mediation effects of unfavorable psychosocial factors and suppression effects of favorable psychosocial factors on the association of △SFUI with △CES-D and the association of △EFUI with △CES-D were tested using hierarchical regression models.

Results
The association between △SFUI and △CES-D was partially mediated by △mother–adolescent conflict (mediation effect size 5.11%, P=.02) and △social nonconfidence (mediation effect size 20.97%, P<.001) but partially suppressed by △friendship quality, △perceived family support, and △perceived friend support, with suppression effects of –0.011 (P=.003), –0.009 (P=.003), and –0.022 (P<.001), respectively. The association between △EFUI and △CES-D was partially mediated by △social nonconfidence (mediation effect size 30.65%, P<.001) but partially suppressed by △perceived family support and △perceived friend support, with suppression effects of –0.036 (P<.001) and –0.039 (P<.001), respectively.

Conclusions
The association between online social networking use intensity and depressive symptoms was partially mediated through the indirect increase in social nonconfidence and mother–adolescent conflict; however, better perceived social support and friendship quality would partially compensate for the harmful impact of online social networking use intensity on depressive symptoms among early adolescents.
Harnessing Neuroplasticity to Promote Brain Health in Aging Adults: Protocol for the MOVE-Cog Intervention Study
Authors: Cabral Danylo F , Hinchman Carrie A , Nunez Christina , Rice Jordyn , Loewenstein David A , Cahalin Lawrence P , Rundek Tatjana , Pascual-Leone Alvaro , Gomes-Osman Joyce 
Published: September 2021

Background
Extensive evidence supports a link between aerobic exercise and cognitive improvements in aging adults. A major limitation with existing research is the high variability in cognitive response to exercise. Our incomplete understanding of the mechanisms that influence this variability and the low adherence to exercise are critical knowledge gaps and major barriers for the systematic implementation of exercise for promoting cognitive health in aging.

Objective
We aimed to provide an in-person and remotely delivered intervention study protocol with the main goal of informing the knowledge gap on the mechanistic action of exercise on the brain by characterizing important mechanisms of neuroplasticity, cardiorespiratory fitness response, and genetics proposed to underlie cognitive response to exercise.

Methods
This is an open-label, 2-month, interventional study protocol in neurologically healthy sedentary adults. This study was delivered fully in-person and in remote options. Participants underwent a total of 30 sessions, including the screening session, 3 pretest (baseline) assessments, 24 moderate-to-vigorous aerobic exercise sessions, and 3 posttest assessments. We recruited participants aged 55 years and above, sedentary, and cognitively healthy. Primary outcomes were neuroplasticity, cognitive function, and cardiorespiratory fitness. Secondary outcomes included genetic factors, endothelium function, functional mobility and postural control, exercise questionnaires, depression, and sleep. We also explored study feasibility, exercise adherence, technology adaptability, and compliance of both in-person and remote protocols.

Results
The recruitment phase and data collection of this study have concluded. Results are expected to be published by the end of 2021 or in early 2022.

Conclusions
The data generated in these studies will introduce tangible parameters to guide the development of personalized exercise prescription models for maximal cognitive benefit in aging adults. Successful completion of the specific aims will enable researchers to acquire the appropriate expertise to design and conduct studies by testing personalized exercise interventions in person and remotely delivered, likely to be more effective at promoting cognitive health in aging adults.

Trial Registration
ClinicalTrials.gov NCT03804528; http://clinicaltrials.gov/ct2/show/NCT03804528

International Registered Report Identifier (IRRID)
RR1-10.2196/33589