bluuebunny/crossref_metadata_2025_split huggingface dataset:
Survival of conventional dental implants in the edentulous atrophic maxilla in combination with zygomatic implants: a 20-year retrospective study
Authors: Vrielinck Luc , Blok Jorden , Politis Constantinus 
Published: June 2022

AbstractPurposeImplant-supported prosthetic rehabilitation in the resorbed maxilla is a great challenge. The aim of this study was to determine the survival rate of conventional anterior implants placed in combination with zygomatic implants according to the Brånemark technique, and to identify risk factors for implant failure.MethodsWe collected data retrospectively from 72 consecutive patients who received treatment from 1998 to 2018 at our center, according to Brånemark’s original technique. Kaplan–Meier analysis was conducted to assess survival rate, and a survival regression model was used with the patient as the random factor, applying the Weibull distribution.ResultsA total of 236 maxillary anterior implants were included, with a mean follow-up of 12.1 years. Kaplan–Meier analysis showed overall cumulative survival rates of 95.3% at 1 year, 94.8% at 2 years, 93.0% at 5 years, 90.5% at 10 years, 81.6% at 15 years, and 67.7% at 20 years. Survival regression showed an association between bruxism and implant failure as well as implants bearing an overdenture. Implants with length ≤ 10 mm had a significantly lower survival time. No significant association was found between the number of anterior implants and survival rate.ConclusionsWe found acceptable long-term anterior conventional implant survival. Significant risk factors for failure were bruxism, overdentures, and implants shorter than 10 mm.
A study on the effect of biconvex compact shape factors on prediction of dilution potential from tensile strength–compaction force data of coprocessed diluents
Authors: Salim Ilyasu , Olowosulu Adeniji Kehinde , Abdulsamad Abdulrahman 
Published: June 2022

Abstract
Background
The purpose of this research was to compare the effect of shape factors of biconvex compacts on prediction of dilution potential from polynomial regression models of area ratio-mass fraction data of novel α-lactose monohydrate-starch orodispersible diluent (α-LSOD) and StarLac®. Ibuprofen-diluent blends were compacted between 4.98 and 29.89 kN. Given the biconvex round compact dimensions (t = axial thickness, w = central cylinder thickness, and d = diameter), tensile strength was computed as $$\sigma_{{{\text{biconvex}}}} = \Phi \frac{F}{{\pi {\text{d}}t}}$$

σ
biconvex

=
Φ

F

π
d
t

, where F is the breaking force. The shape factor (Φ) was defined as $$\left[ \frac{t}{2d} \right]^{ - 1} ,\left[ {\frac{0.14t}{d} + \frac{0.36w}{d}} \right]^{ - 1} ,\left[ {10/\left[ {\left( {\frac{2.84t}{d}} \right) - \left( {\frac{0.126t}{w}} \right) + \left( {\frac{3.15w}{d}} \right) + 0.01} \right]} \right]$$

t

2
d

-
1

,

0.14
t

d

+

0.36
w

d

-
1

,

10
/

2.84
t

d

-

0.126
t

w

+

3.15
w

d

+
0.01

for Podczeck (ΦPz), Shang (ΦSh), and Pitt (ΦPt) models, respectively. Area under the curve (AUC) was obtained by second-order polynomial fitting of the tensile strength–compaction force curve followed by integration of the quadratic regression equation between the two compaction force limits. The AUC of each powder system was normalised with the AUC of ibuprofen-free powder to obtain area ratio (AR). The AR was plotted against mass fraction of ibuprofen, and the curvilinear data was fitted by third-order polynomial fitting. Dilution potential was obtained from the regression equation by back extrapolation to zero area ratio.

Results
Tukey’s multiple comparison test indicated statistically significant differences between the three shape factors (p < 0.001). The shape factors ΦSh and ΦPt were higher than ΦPz by a factor of 2.4 and 1.2, respectively. The quadratic regression model sufficiently explained the observed relationship between tensile strength and compaction force as indicated by the coefficient of determination whose values ranged between 0.9344 and 0.99843 and 0.93725 and 0.99812 for α-LSOD and Starlac®, respectively. Dilution potential was predicted as $$AR = B_{3} x^{3} + B_{2} x^{2} + B_{1} x + c$$

A
R
=

B
3

x
3

+

B
2

x
2

+

B
1

x
+
c

, where x and its coefficients are ibuprofen mass fraction and regression constants, respectively. The predicted dilution potential of the three tensile strength models were within a close range of $$\approx 110.93 \pm 1.02$$

≈
110.93
±
1.02

and $$\approx 116.02 \pm 0.62$$

≈
116.02
±
0.62

for both α-LSOD and StarLac®.

Conclusions
This study suggests the adoption of the simplest Podczeck model given a biconvex round punch tooling and highlights the suitability of polynomial regression to predict dilution capacity from nonlinear area ratio-mass fraction data.
Structural, genomic information and computational analysis of emerging coronavirus (SARS-CoV-2)
Authors: Agarwal Deepak , Zafar Imran , Ahmad Syed Umair , Kumar Sujit , Ain Qurat ul , Sundaray Jitendra Kumar , Rather Mohd Ashraf 
Published: June 2022

AbstractBackgroundThe emerging viral pandemic worldwide is associated with a novel coronavirus, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). This virus is said to emerge from its epidemic center in Wuhan, China, in 2019. Coronaviruses (CoVs) are single-stranded, giant, enveloped RNA viruses that come under the family of coronaviridae and order Nidovirales which are the crucial pathogens for humans and other vertebrates.Main bodyCoronaviruses are divided into several subfamilies and genera based on the genomic structure and phylogenetic relationship. The name corona is raised due to the presence of spike protein on the envelope of the virus. The structural and genomic study revealed that the total genome size of SARS-CoV-2 is from 29.8 kb to 29.9 kb. The spike protein (S) is a glycoprotein that attaches to the receptor of host cells for entry into the host cell, followed by the attachment of virus RNA to the host ribosome for translation. The phylogenetic analysis of SARS-CoV-2 revealed the similarity (75–88%) with bat SARS-like coronavirus.ConclusionThe sign and symptoms of novel severe acute respiratory syndrome coronavirus 2 are also discussed in this paper. The worldwide outbreak and prevention from severe acute respiratory syndrome coronavirus 2 are overviewed in the present article. The latest variant of coronavirus and the status of vaccines are also overviewed in the present article.
Detailed insight into the pathophysiology and the behavioral complications associated with the Parkinson's disease and its medications
Authors: Wal Pranay , Dwivedi Jyotsana , Wal Ankita , Vig Himangi , Singh Yatendra 
Published: June 2022

AbstractBackgroundThe loss of dopamine neurons in the substantia nigra, as well as other mostly catecholaminergic neurons, causes many of the motor symptoms that define Parkinson's disease. Parkinson's disease is commonly thought of as a movement disorder, the significant prevalence of psychiatric complications such as cognitive impairment, and psychosis suggests it should be considered a neuropsychiatric illness, and all behavioral complications are linked to growing disability and the medication.Main bodyApart from the disease-induced abnormalities, there are several other side effects of the disease and also from the medication used to prevent the disease. This article focuses on the pathogenesis of Parkinson’s disease and also the behavioral abnormalities caused by the disease and its medication. The study's data were gathered by searching several review articles and research papers from a variety of sources, including Elsevier, PubMed, Research Gate, Journal of Pharmaceutical Science, etc., from the year 1985 to 2021. Parkinson's disease is a neurodegenerative disease caused by a variety of complex processes. It is responsible not just for motor symptoms, but also for a variety of behavioral symptoms that can arise as a result of the disease and/or medication.ConclusionOnly symptomatic drugs are available; thus, finding treatments that directly address the disease mechanisms causing Parkinson’s disease is essential. To alleviate the disease's burden on patients and their families, better treatments for the neuropsychiatric repercussions of Parkinson's disease are required.Graphical Abstract
Thoughts of suicide or self-harm among healthcare workers during the COVID-19 pandemic: qualitative analysis of open-ended survey responses
Authors: Bismark Marie , Smallwood Natasha , Jain Ria , Willis Karen 
Published: June 2022

Background
Healthcare workers are at higher risk of suicide than other occupations, and suicidal thoughts appear to have increased during the COVID-19 pandemic.

Aims
To understand the experiences of healthcare workers with frequent thoughts of suicide or self-harm during the pandemic, including factors that contributed to their distress, and the supports that they found helpful.

Method
We used content analysis to analyse free-text responses to the Australian COVID-19 Frontline Healthcare Workers Study, from healthcare workers who reported frequent thoughts that they would be better off dead or of hurting themselves, on the Patient Health Questionnaire-9.

Results
A total of 262 out of 7795 healthcare workers (3.4%) reported frequent thoughts of suicide or self-harm in the preceding 2 weeks. They described how the pandemic exacerbated pre-existing challenges in their lives, such as living with a mental illness, working in an unsupportive environment and facing personal stressors like relationship violence or unwell family members. Further deterioration in their mental health was triggered by heavier obligations at home and work, amid painful feelings of loneliness. They reported that workplace demands rose without additional resources, social and emotional isolation increased and many healthful activities became inaccessible. Tokenistic offers of support fell flat in the face of multiple barriers to taking leave or accessing professional help. Validation of distress, improved access to healthcare and a stronger sense of belonging were identified as helpful supports.

Conclusions
These findings highlight the need for better recognition of predisposing, precipitating, perpetuating and protective factors for thoughts of suicide and self-harm among healthcare workers.
Ventilation Strategies During General Anesthesia for Noncardiac Surgery: A Systematic Review and Meta-Analysis
Authors: Bolther Maria , Henriksen Jeppe , Holmberg Mathias J. , Jessen Marie K. , Vallentin Mikael F. , Hansen Frederik B. , Holst Johanne M. , Magnussen Andreas , Hansen Niklas S. , Johannsen Cecilie M. , Enevoldsen Johannes , Jensen Thomas H. , Roessler Lara L. , Carøe Lind Peter , Klitholm Maibritt P. , Eggertsen Mark A. , Caap Philip , Boye Caroline , Dabrowski Karol M. , Vormfenne Lasse , Høybye Maria , Karlsson Mathias , Balleby Ida R. , Rasmussen Marie S. , Pælestik Kim , Granfeldt Asger , Andersen Lars W. 
Published: June 2022

BACKGROUND:
The optimal ventilation strategy during general anesthesia is unclear. This systematic review investigated the relationship between ventilation targets or strategies (eg, positive end-expiratory pressure [PEEP], tidal volume, and recruitment maneuvers) and postoperative outcomes.

METHODS:
PubMed and Embase were searched on March 8, 2021, for randomized trials investigating the effect of different respiratory targets or strategies on adults undergoing noncardiac surgery. Two investigators reviewed trials for relevance, extracted data, and assessed risk of bias. Meta-analyses were performed for relevant outcomes, and several subgroup analyses were conducted. The certainty of evidence was evaluated using Grading of Recommendations Assessment, Development and Evaluation (GRADE).

RESULTS:
This review included 63 trials with 65 comparisons. Risk of bias was intermediate for all trials. In the meta-analyses, lung-protective ventilation (ie, low tidal volume with PEEP) reduced the risk of combined pulmonary complications (odds ratio [OR], 0.37; 95% confidence interval [CI], 0.28–0.49; 9 trials; 1106 patients), atelectasis (OR, 0.39; 95% CI, 0.25–0.60; 8 trials; 895 patients), and need for postoperative mechanical ventilation (OR, 0.36; 95% CI, 0.13–1.00; 5 trials; 636 patients). Recruitment maneuvers reduced the risk of atelectasis (OR, 0.44; 95% CI, 0.21–0.92; 5 trials; 328 patients). We found no clear effect of tidal volume, higher versus lower PEEP, or recruitment maneuvers on postoperative pulmonary complications when evaluated individually. For all comparisons across targets, no effect was found on mortality or hospital length of stay. No effect measure modifiers were found in subgroup analyses. The certainty of evidence was rated as very low, low, or moderate depending on the intervention and outcome.

CONCLUSIONS:
Although lung-protective ventilation results in a decrease in pulmonary complications, randomized clinical trials provide only limited evidence to guide specific ventilation strategies during general anesthesia for adults undergoing noncardiac surgery.
CO Binding onto Heterometals of [Mo3S4M] (M = Fe, Co, Ni) Cubes
Authors: Tanifuji Kazuki , Sakai Yuta , Matsuoka Yuto , Tada Mizuki , Sameera W M C , Ohki Yasuhiro 
Published: June 2022

Abstract
We have previously shown that cyclopentadienyl (CpR)-supported [Mo3S4] platforms capture and stabilize halides of hetero-metals (M) under reducing conditions to give [Mo3S4M] cubes. Here we report Co and Ni variants with CpXL ligands (CpXL = C5Me4SiEt3) and CO binding to the [Mo3S4M] clusters (M = Fe, Co, Ni). Properties of the isolated CO-bound [Mo3S4M] cubes were investigated by X-ray diffraction, IR, and electrochemical analyses. Density functional theory (DFT) calculations were performed for the isolated CO-bound clusters to evaluate M-CO interactions. These analyses constitute foundations to develop bio-mimetic molecular catalysts for the direct conversion of CO and/or CO2 into hydrocarbons, which can contribute to the reduction of carbon emissions.
Impact of COVID on Sports Injury Patterns, Changes in Mental Well-Being, and Strategies to Prepare for Future Pandemics in Sport
Authors: Vincent Heather K. , Patel Shammi , Zaremski Jason L. 
Published: June 2022

Abstract
This review describes the available evidence of the acute respiratory syndrome coronavirus 2 (SARS-CoV-2, referred to COVID-19) pandemic on musculoskeletal injury patterns and prevalence in athletes. A brief overview of the epidemiology of COVID-19 and prevalence in active populations from youth through professional are provided. Responses to COVID-19 regarding sport participation at regional, national, and international organizations are summarized. Downstream effects of complete or partial training shutdown on injury risk and mental health are discussed. Strategies to maintain athletic potential and overall well-being include maintaining safe access to training facilities and resources, implementation of injury prevention programs, organization of athlete support networks, and incorporation of resilience and coping training.
Knee Extensor Mechanism Tendinopathy: Evaluation, Treatment, and Prevention
Authors: Catapano Michael , Babu Ashwin N. , Tenforde Adam S. , Borg-Stein Joanne , McInnis Kelly C. 
Published: June 2022

Abstract
Knee extensor mechanism tendinopathy, including patellar and quadriceps tendinopathy, is common among athletes and those involved in jumping sports. It is largely a clinical diagnosis that presents as anterior knee pain and stiffness with associated tenderness over the affected tendon. Imaging modalities, including ultrasound and/or magnetic resonance imaging, may be helpful with the diagnosis of difficult cases or in the planning of interventional procedures. Focused and structured rehabilitation using eccentric or heavy slow resistance exercise in conjunction with load management is important for recovery. Adjuvant therapies (e.g., injections or surgery) may be necessary in recalcitrant cases or those with insufficient response to rehabilitation efforts. Prevention strategies focus on improving biomechanics, landing mechanism and lower-extremity balance, flexibility, and strength.
Actual and potential drug interactions of psychotropic drugs in patients of the COVID-19 medicine service of the emergency hospital-Lima, 2021
Authors: Esteves Pairazaman Ambrocio Teodoro , Caldas Herrera Emma , Leon Apac Gabriel , Collanque Pinto Jesús Daniel , Caldas Herrera María Evelina , Ñañez del Pino Daniel , Martínez Carreras Javier Francisco , Robles Huaranca Ricardo 
Published: June 2022

Background: Actual and potential drug–drug interactions of psychotropic drugs in patients of the COVID-19 Medicine Service of the Villa El Salvador Emergency Hospital during the months of February to July, 2021. Methods: The study is deductive, retroprospective, quantitative, applied, cross-sectional observational. The instrument used was a collection card for 86 pharmacotherapeutic follow-ups where psychotropic drugs for anxiety, depression and insomnia were registered. Results: In the actual and potential drug interactions of psychotropic drugs, according to the degree of severity dimension, it was identified that the important indicator represented the highest frequency of 89% of the interactions; according to the type of interaction dimension, it was identified that the pharmacodynamic indicator presented a higher frequency with 53%; according to the clinical evidence dimension, it was identified that the fair indicator had a higher frequency with 73% interactions; in the manifestation dimension, it was identified that the potential indicator presented a higher frequency with 92.2% interactions. In its moment of appearance dimension, it was identified that the quick indicator had a higher prevalence with 5.5% of real interactions. In its causality algorithm dimension, the probable indicator was identified as having the highest frequency with 7.25% of actual interactions. With respect to sex, the male presented 49.9% of potential interactions and in the real interactions, the female sex presented a higher incidence with 4.3% interactions. The average age of the potential interactions was 48.83 years, and the average age of the real interactions was 45.67 years. Sertraline presented 53.2% of potential interactions and in relation to real drug interactions the one that presented the highest frequency was mirtazapine with 3.5% interactions. Conclusion: We conclude that the increase in the prescription of psychotropic drugs is related to a higher probability of interactions.
Early-Onset Colorectal Cancer in a Young Woman with Type 1 Gaucher Disease
Authors: Ridova Nevenka , Trajkova Sanja , Popova-Labachevska Marija , Stojanovska – Jakimovska Simona , Nikolov Filip , Panovska-Stavridis Irina 
Published: June 2022

Introduction: Gaucher disease (GD) is a rare inherited lysosomal storage disease characterized by multi-system impairment. One of its main features is the over-expressed chronic stimulation and activation of the immune system, which may play a crucial role in the development of some malignancies associated with GD. Case description: We describe a young woman diagnosed with GD type 1 in early adulthood who developed early-onset colorectal cancer shortly after GD diagnosis and the initiation of enzyme replacement therapy. She underwent radical surgical resection of the colon and adjuvant chemotherapy due to metastatic disease in the liver. She failed first-line therapy with capecitabine and is currently being treated with irinotecan plus the monoclonal antibody cetuximab. Discussion: Although there is no evidence of an association between GD and colorectal cancer, this presentation in a young woman without a family history or risk factors may indicate a link. During anticancer treatment, only grade 3 anaemia was documented and no other haematological toxicities were observed. Enzyme replacement therapy at the recommended dose is regularly administered at scheduled intervals. The dosage may be increased in future if necessary to alleviate profound cytopenia. Conclusion: Anticancer treatment in patients with GD can be challenging due to the accompanying cytopenia. Optimal treatment of these patients with cancer requires greater understanding of the pathophysiology of GD and its impact on haematopoiesis.
Postoperative histology discussion in the colorectal multidisciplinary team: requirement for the colorectal nurse specialist
Authors: Kulkarni Nikhil , Khalil Ahmed , Lee Roberta 
Published: June 2022

Background: COVID-19-related workforce absences have led to shortages of frontline healthcare staff. The colorectal nursing unit at Lincoln County Hospital was short-staffed for a few months due to the pandemic. This led to a change in the system of flagging postoperative histology results to the colorectal cancer multidisciplinary team (MDT) meeting. Data for patients during this period were studied to assess if this led to delays in MDT discussion. Methods: Data were extracted from a prospectively maintained database for all colorectal cancer patients undergoing resection surgery from 1 April 2021 to 31 July 2021. Data collected included: date of surgery, operation notes, histology results and date of postoperative MDT discussion. The time interval between date of surgery and date of MDT discussion was tabulated from this data. Results: Out of 98 patients identified on the database, 76 were included in this study. Eight (11%) of these patients did not have their histology results discussed in a timely fashion in the colorectal MDT. Four out of these eight subsequently required adjuvant therapy (chemotherapy or radiotherapy). Conclusion: There was a delay in discussion of postoperative histology in the colorectal MDT due to the change of pathway. This highlights the important role of the colorectal nurse specialists (CNSs) in the overall management of colorectal cancer patients. This article highlights the need to avoid burdening the CNS with tasks that can easily be completed by implementing advanced electronic MDT reporting systems.
Comparative Techniques Using Hierarchical Modelling and Machine Learning for Procedure Recognition in Smart Hospitals
Authors: Noor Shaheena , Aamir Muhammad , Ismat Najma , Saleem Muhammad Imran 
Published: June 2022

6G is one of the key cornerstone elements of the futuristic smart system setup – the others being cloud computing, big data, wearable devices and Artificial Intelligence. Also, smart offices and homes have become even more popular than before, because of the advancement in computer vision and Machine Learning (ML) technologies. Recognition of human actions and situations are fundamental components of such systems, especially in complex environments like healthcare, for example at the dentist clinic, where we need cues such as eye movement to distinguish procedures being undertaken. In this work, we compare models based on hierarchical modelling and machine learning to identify the dental procedure. We used the objects seen while following the eye trajectories and focussed on elements including material used for treatment, equipment involved and the teeth conditions i.e. symptoms. Our experiments showed that using Artificial Neural Network (ANN) increased the accuracy of prediction compared to hierarchical modelling. Our experiments show an improvement in accuracy for each of the constituent parameters i.e., symptom (ANN: 95.58% vs. Hierarchical: 45.68%), material (ANN: 86.32% vs. Hierarchical: 45.18%) and equipment (ANN: 92.65% vs. Hierarchical: 59.39%).